title
Excel Data Analytics Full Course | Essential Skills For Data Analysis In Excel | Simplilearn

description
🔥Post Graduate Program in Data Analytics: https://www.simplilearn.com/pgp-data-analytics-certification-training-course?utm_campaign=DataAnalytics-OOWAk2aLEfk&utm_medium=DescriptionFirstFold&utm_source=youtube 🔥IIT Kanpur Professional Certificate Course In Data Analytics (India Only): https://www.simplilearn.com/iitk-professional-certificate-course-data-analytics?utm_campaign=DataAnalytics-OOWAk2aLEfk&utm_medium=DescriptionFirstFold&utm_source=youtube 🔥Caltech Data Analytics Bootcamp(US Only): https://www.simplilearn.com/data-analytics-bootcamp?utm_campaign=DataAnalytics-OOWAk2aLEfk&utm_medium=DescriptionFirstFold&utm_source=youtube 🔥 Data Analytics Bootcamp(US Only):https://www.simplilearn.com/data-analytics-bootcamp?utm_campaign=DataAnalytics-OOWAk2aLEfk&utm_medium=DescriptionFirstFold&utm_source=youtube This Excel Data Analytics Full Course video will help you understand the various crucial functions available in Excel, such as lookup, H lookup, sumif/s, counif/s, if error, and others. Finally, you will see how to use the Data Analysis Toolpak to perform various data analysis operations. So, let's begin. 00:00:00 Basic of excel data analysis 00:04:20 Lookup & functions in excel data analysis 01:37:58 Conditional formating in excel data analysis 01:54:30 Data validation in excel data analysis 02:36:30 Sorting and filtering in excel data analysis 03:23:55 Data analysis using toolpak in excel data analysis Dataset Link: https://drive.google.com/drive/folders/1U8CF0Xx3NivXdfrQvXJ_462tEb26oPuX ✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH ⏩ Check out the Business Analytics tutorial videos: https://bit.ly/3hQFfDP #DataAnalyticsInExcel #DataAnalyticsInExcelFullCourse #DataAnalyticsWithExcel #DataAnalyticsUsingExcel #DataAnalyticsCourse #DataAnalyticsCourseForBeginners #ExcelForDataAnalysis #ExcelForBeginners #ExcelBasicsForBeginners #ExcelTutorial #ExcelTutorialForBeginners #BusinessAnalystCourse #BusinessAnalyst #BusinessAnalytics #Simplilearn What is Microsoft Excel? Excel is one of the best applications available for creating spreadsheets to crunch numbers and dashboard reports and storing and administering data. This software first appeared on the scene back in 1987, and since then it has grown to become one of the most popular pieces of software for home or business. Excel can be used for data entry to store data in the form of a table, such as recording your daily expenses or business expenditure. It can also be used for inventory management. ✅ Professional Certificate Program In Data Analytics: This Data Analytics Program is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects. ✅ Key Features: - Professional Program certificate and Alumni Association membership - Exclusive hackathons and Ask me Anything sessions by IBM - 8X higher live interaction in live online classes by industry experts - Capstone from 3 domains and 14+ Data Analytics Projects with Industry datasets from Google PlayStore, Lyft, World Bank etc. - Master Classes delivered by Purdue faculty and IBM experts - Simplilearn's JobAssist helps you get noticed by top hiring companies - Resume preparation and LinkedIn profile building - 1:1 mock interview - Career accelerator webinars ✅ Skills Covered - Data Analytics - Statistical Analysis using Excel - Data Analysis Python and R - Data Visualization Tableau and Power BI - Linear and logistic regression modules - Clustering using kmeans - Supervised Learning Learn more at: https://www.simplilearn.com/pgp-data-analytics-certification-training-course?utm_campaign=DataAnalytics-OOWAk2aLEfk&utm_medium=Description&utm_source=youtube 🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688

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{'title': 'Excel Data Analytics Full Course | Essential Skills For Data Analysis In Excel | Simplilearn', 'heatmap': [{'end': 1058.616, 'start': 907.102, 'weight': 1}], 'summary': 'The course covers essential excel data analytics skills, including data management, formulas, data manipulation, sorting, advanced filtering, functions, visualization, data validation, pivot tables, vlookup, lookup functions, data analysis techniques, and regression analysis, providing step-by-step guidance and practical examples for efficient data analysis and interpretation.', 'chapters': [{'end': 382.002, 'segs': [{'end': 60.136, 'src': 'embed', 'start': 26.112, 'weight': 0, 'content': [{'end': 29.975, 'text': 'You will start off by taking a tour to Welcome to Excel, where you will learn the basics.', 'start': 26.112, 'duration': 3.863}, {'end': 38.82, 'text': 'Then, you will understand the various crucial functions available in Excel such as VLOOKUP, HLOOKUP, SUMIFS, COUNTIFS, IFERROR and others.', 'start': 30.595, 'duration': 8.225}, {'end': 42.042, 'text': 'You will learn how to sort and filter data in Excel.', 'start': 39.921, 'duration': 2.121}, {'end': 46.065, 'text': "Then, we'll focus on conditional formatting and data validation.", 'start': 42.723, 'duration': 3.342}, {'end': 51.367, 'text': 'Moving further, you will get an idea how to create pivot tables and pivot charts in Excel.', 'start': 46.983, 'duration': 4.384}, {'end': 60.136, 'text': 'And finally, you will see how to use the data analysis tool pack to perform various data analysis operations, such as regression sampling,', 'start': 52.228, 'duration': 7.908}], 'summary': 'Learn excel basics, functions, sorting, filtering, pivot tables, and data analysis operations.', 'duration': 34.024, 'max_score': 26.112, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk26112.jpg'}, {'end': 221.972, 'src': 'embed', 'start': 100.982, 'weight': 1, 'content': [{'end': 109.787, 'text': 'to that another colleague responds well, we can make use of microsoft excel to do this job.', 'start': 100.982, 'duration': 8.805}, {'end': 115.73, 'text': 'the question is will excel be able to cater to their business needs?', 'start': 109.787, 'duration': 5.943}, {'end': 125.543, 'text': 'now? The colleague responds well, we can make use of Excel in several ways, and it also is a cost efficient option.', 'start': 115.73, 'duration': 9.813}, {'end': 134.987, 'text': "Now, in that case, the colleague who posed the question says, let's go ahead with Excel and let's train our employees in Excel.", 'start': 126.603, 'duration': 8.384}, {'end': 146.456, 'text': 'and the suggestion is welcomed, which would make the job easier for them, and they would basically decide on using excel.', 'start': 136.628, 'duration': 9.828}, {'end': 152.621, 'text': 'so they decide on taking a training right away and basically starting to learn excel.', 'start': 146.456, 'duration': 6.165}, {'end': 158.766, 'text': 'now, before we move to excel, one of the question is why should we use excel?', 'start': 152.621, 'duration': 6.145}, {'end': 161.61, 'text': "So let's look at some of the points here.", 'start': 159.81, 'duration': 1.8}, {'end': 169.973, 'text': 'So Excel proves to be a great platform to perform various mathematical calculation on large data sets,', 'start': 162.331, 'duration': 7.642}, {'end': 174.414, 'text': 'which is one of the biggest requirements of various organizations these days.', 'start': 169.973, 'duration': 4.441}, {'end': 182.736, 'text': 'Various features in Excel like searching, sorting, filtering makes it easier for you to play with the data.', 'start': 175.074, 'duration': 7.662}, {'end': 191.785, 'text': 'and excel also allows you to beautify your data and present it in the form of charts, tables and data bars.', 'start': 183.496, 'duration': 8.289}, {'end': 199.594, 'text': 'now, when it comes to reporting, reporting, accounting and analysis can be performed with the help of excel.', 'start': 191.785, 'duration': 7.809}, {'end': 205.36, 'text': 'it can help you with your task lists, your calendars and goal planning worksheets.', 'start': 199.594, 'duration': 5.766}, {'end': 209.582, 'text': 'excel also provides good security for your data.', 'start': 206.32, 'duration': 3.262}, {'end': 212.845, 'text': 'excel files have the feature of password protection.', 'start': 209.582, 'duration': 3.263}, {'end': 217.108, 'text': 'this way, your information can be safe.', 'start': 212.845, 'duration': 4.263}, {'end': 221.972, 'text': 'now, when we talk about what is excel and how it can be used,', 'start': 217.108, 'duration': 4.864}], 'summary': 'Excel is a versatile tool for data analysis and security, offering features for calculations, reporting, and presentation of data.', 'duration': 120.99, 'max_score': 100.982, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk100982.jpg'}], 'start': 8.717, 'title': 'Data analytics and data management in excel', 'summary': 'Provides a comprehensive tutorial on data analytics in excel, covering basics, crucial functions, pivot tables, pivot charts, and data analysis operations. it also discusses the advantages of using excel for data management, including performing mathematical calculations on large datasets, features for data manipulation, reporting, and analysis, and provides a brief overview of the functions and formulas used in excel.', 'chapters': [{'end': 152.621, 'start': 8.717, 'title': 'Data analytics in excel', 'summary': 'Covers a comprehensive tutorial on data analytics in excel, including basics, crucial functions, pivot tables, pivot charts, and data analysis operations, with a case study demonstrating the use of excel in a business scenario.', 'duration': 143.904, 'highlights': ['The tutorial covers basics to advanced in Excel, including VLOOKUP, HLOOKUP, SUMIFS, COUNTIFS, IFERROR, sorting and filtering data, conditional formatting, data validation, pivot tables, pivot charts, and data analysis tool pack operations.', 'The case study illustrates a scenario in a startup where professionals decide to use Excel for efficient data management due to its cost efficiency and versatility.', 'The professionals decide to train employees in Excel for efficient data management, ultimately choosing to use Excel for their business needs.']}, {'end': 382.002, 'start': 152.621, 'title': 'Excel for data management', 'summary': 'Discusses the advantages of using excel for data management, including performing mathematical calculations on large datasets, features for data manipulation, reporting, and analysis, and provides a brief overview of the functions and formulas used in excel.', 'duration': 229.381, 'highlights': ['Excel proves to be a great platform to perform various mathematical calculations on large data sets, a key requirement for organizations.', 'Features in Excel like searching, sorting, and filtering make it easier to manipulate data.', 'Excel allows beautifying data and presenting it in the form of charts, tables, and data bars.', 'Excel facilitates reporting, accounting, and analysis.', 'Excel provides good security for data through password protection.']}], 'duration': 373.285, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk8717.jpg', 'highlights': ['The tutorial covers basics to advanced in Excel, including VLOOKUP, HLOOKUP, SUMIFS, COUNTIFS, IFERROR, sorting and filtering data, conditional formatting, data validation, pivot tables, pivot charts, and data analysis tool pack operations.', 'Excel proves to be a great platform to perform various mathematical calculations on large data sets, a key requirement for organizations.', 'Features in Excel like searching, sorting, and filtering make it easier to manipulate data.', 'Excel allows beautifying data and presenting it in the form of charts, tables, and data bars.', 'Excel facilitates reporting, accounting, and analysis.', 'The case study illustrates a scenario in a startup where professionals decide to use Excel for efficient data management due to its cost efficiency and versatility.', 'The professionals decide to train employees in Excel for efficient data management, ultimately choosing to use Excel for their business needs.', 'Excel provides good security for data through password protection.']}, {'end': 985.841, 'segs': [{'end': 436.483, 'src': 'embed', 'start': 406.244, 'weight': 1, 'content': [{'end': 415.47, 'text': 'And what you could do is either you can type in the formula that is from which row to which row you would want to add the data.', 'start': 406.244, 'duration': 9.226}, {'end': 422.835, 'text': 'So, for example, I could just do a sum here and that shows up all the different functions which are available.', 'start': 415.991, 'duration': 6.844}, {'end': 429.52, 'text': 'Then we can open up a parenthesis and we can say I would be interested in totaling the amount.', 'start': 423.316, 'duration': 6.204}, {'end': 436.483, 'text': 'from column D and I would select for example D4.', 'start': 430.6, 'duration': 5.883}], 'summary': "Excel allows for easy data summarization with functions like 'sum' and specific cell selection.", 'duration': 30.239, 'max_score': 406.244, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk406244.jpg'}, {'end': 584.632, 'src': 'embed', 'start': 552.249, 'weight': 0, 'content': [{'end': 556.452, 'text': 'I can click on home and I can go for something like auto sum.', 'start': 552.249, 'duration': 4.203}, {'end': 563.497, 'text': "So that's one more way of doing it, which anyway says sum is alt plus equals.", 'start': 556.812, 'duration': 6.685}, {'end': 572.843, 'text': 'So it automatically adds up your values and I can try doing a auto sum that automatically selects my rows and then I can get my total.', 'start': 563.937, 'duration': 8.906}, {'end': 584.632, 'text': 'Now, as for this activity here, it says try adding another SUMIF formula here, but add amounts that are less than 100 and the result should be 160.', 'start': 573.402, 'duration': 11.23}], 'summary': 'Demonstrating auto sum function and using sumif formula to calculate total amount less than 100, resulting in 160.', 'duration': 32.383, 'max_score': 552.249, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk552249.jpg'}, {'end': 691.691, 'src': 'embed', 'start': 657.394, 'weight': 3, 'content': [{'end': 659.716, 'text': "So that's how you can simply add numbers.", 'start': 657.394, 'duration': 2.322}, {'end': 661.617, 'text': 'You can use auto sum.', 'start': 660.156, 'duration': 1.461}, {'end': 663.239, 'text': 'You can type in the formula.', 'start': 661.818, 'duration': 1.421}, {'end': 673.215, 'text': 'you can select the fields, or you can just place your cursor where you would be looking for a sum, and then you can just do a alt equals,', 'start': 663.806, 'duration': 9.409}, {'end': 675.778, 'text': 'and that basically populates the sum.', 'start': 673.215, 'duration': 2.563}, {'end': 691.691, 'text': "now let's look at some easy options of filling your cells or automatically populating the values in your cells within your excel sheet.", 'start': 680.06, 'duration': 11.631}], 'summary': 'Add numbers in excel using auto sum and formulas, and auto-populate cells.', 'duration': 34.297, 'max_score': 657.394, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk657394.jpg'}, {'end': 819.356, 'src': 'embed', 'start': 792.078, 'weight': 4, 'content': [{'end': 800.765, 'text': 'Now, what I can also do is I can just select all of these fields by just highlighting and selecting all the fields once it is selected.', 'start': 792.078, 'duration': 8.687}, {'end': 805.327, 'text': 'press on control r and that gives you the total.', 'start': 801.385, 'duration': 3.942}, {'end': 814.633, 'text': 'now, if we would be doing this top down, then i could select all these rows for this particular column and then i could do a control d.', 'start': 805.327, 'duration': 9.306}, {'end': 819.356, 'text': "so that's your filling down and this one was filling right.", 'start': 814.633, 'duration': 4.723}], 'summary': 'The speaker demonstrates selecting and filling data in a spreadsheet.', 'duration': 27.278, 'max_score': 792.078, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk792078.jpg'}, {'end': 895.374, 'src': 'embed', 'start': 866.825, 'weight': 5, 'content': [{'end': 877.047, 'text': 'which basically helps us in splitting the data when we have some kind of pattern Or when we have some kind of D limiters in our data in, say,', 'start': 866.825, 'duration': 10.222}, {'end': 881.05, 'text': 'one particular column, and we would want to derive the values out of it.', 'start': 877.047, 'duration': 4.003}, {'end': 884.372, 'text': 'So we can always use the splitting option.', 'start': 881.55, 'duration': 2.822}, {'end': 886.474, 'text': 'Now the easiest option would be.', 'start': 884.552, 'duration': 1.922}, {'end': 895.374, 'text': 'So, for example, we have our email column which has the email IDs and which We can clearly see has a first name dot last name.', 'start': 886.914, 'duration': 8.46}], 'summary': 'Splitting data based on patterns or delimiters, e.g., email ids with first name dot last name.', 'duration': 28.549, 'max_score': 866.825, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk866825.jpg'}], 'start': 382.002, 'title': 'Excel formulas and data manipulation', 'summary': 'Covers using formulas in excel for summing numbers, applying conditions like sumif, and manipulating data through techniques involving shortcuts and commands, including alt+equals, drag and drop, control r, control d, control e, and flash fill.', 'chapters': [{'end': 657.394, 'start': 382.002, 'title': 'Using formulas in excel', 'summary': 'Covers using formulas in excel, including examples of summing up numbers, using shortcuts such as alt+equals, and applying conditions like sumif to extract specific data, with a demonstration of adding amounts less than 100 to result in 160.', 'duration': 275.392, 'highlights': ['Using shortcuts like alt+equals for quick summation', 'Applying SUMIF formula to extract specific data', 'Demonstrating the process of adding numbers using Excel formulas']}, {'end': 985.841, 'start': 657.394, 'title': 'Excel data manipulation techniques', 'summary': 'Covers various excel data manipulation techniques including summing data, filling cells, and splitting data, which can be done through shortcuts and commands, such as alt equals, drag and drop, control r, control d, control e, and flash fill.', 'duration': 328.447, 'highlights': ['Excel provides shortcuts for summing data, such as using alt equals and dragging to populate totals, making data manipulation quicker and more efficient.', 'Filling cells and propagating computation can be done efficiently using shortcuts like control r, control d, and flash fill, saving time and effort in data manipulation tasks.', 'The splitting option in Excel allows for easy extraction of values from a column with specific patterns or delimiters, providing a convenient way to manipulate and derive data.']}], 'duration': 603.839, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk382002.jpg', 'highlights': ['Excel shortcuts like alt+equals for quick summation', 'Applying SUMIF formula to extract specific data', 'Demonstrating the process of adding numbers using Excel formulas', 'Excel shortcuts for summing data, such as alt equals and dragging to populate totals', 'Efficient data manipulation using shortcuts like control r, control d, and flash fill', 'Splitting option in Excel for easy extraction of values from a column']}, {'end': 2700.914, 'segs': [{'end': 1010.905, 'src': 'embed', 'start': 985.841, 'weight': 2, 'content': [{'end': 996.655, 'text': 'so in this way you can work within your spreadsheet and and you can be filling up the values where a delimiter by default is understood and we can split the data now.', 'start': 985.841, 'duration': 10.814}, {'end': 1005.421, 'text': 'however, sometimes you might have some data which has a different kind of delimiter and there is again a smarter way of splitting your data.', 'start': 996.655, 'duration': 8.766}, {'end': 1010.905, 'text': 'so you can always scroll down here and that says splitting a column based on delimiters.', 'start': 1005.421, 'duration': 5.484}], 'summary': 'Learn how to split data in your spreadsheet using delimiters.', 'duration': 25.064, 'max_score': 985.841, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk985841.jpg'}, {'end': 1153.392, 'src': 'embed', 'start': 1128.778, 'weight': 11, 'content': [{'end': 1137.803, 'text': 'Now, you might have heard of situations where you would want to switch or turn your rows into columns and your columns into rows,', 'start': 1128.778, 'duration': 9.025}, {'end': 1140.324, 'text': "and that's where transposing comes into picture.", 'start': 1137.803, 'duration': 2.521}, {'end': 1148.289, 'text': 'It might be useful when you have your data in your X and Y axis, or, as I would say, in rows and columns,', 'start': 1140.805, 'duration': 7.484}, {'end': 1153.392, 'text': 'and you would want to switch your rows to become the columns and columns to become your rows.', 'start': 1148.289, 'duration': 5.103}], 'summary': 'Transposing switches rows and columns in data.', 'duration': 24.614, 'max_score': 1128.778, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk1128778.jpg'}, {'end': 1427.713, 'src': 'embed', 'start': 1344.741, 'weight': 0, 'content': [{'end': 1356.947, 'text': "So this is a very simple way in which you can basically use the Excel's capability to transpose your data and convert your rows into columns and columns into rows.", 'start': 1344.741, 'duration': 12.206}, {'end': 1371.575, 'text': 'Apart from working on additions, subtractions, filling up your data, sorting the data or basically splitting your data, transposing your data,', 'start': 1357.588, 'duration': 13.987}, {'end': 1376.149, 'text': 'one of the other requirements is sorting and filtering your data.', 'start': 1371.575, 'duration': 4.574}, {'end': 1383.931, 'text': "now that can be very handy when you're working on huge data and you would want to sort it in a particular order, say ascending or descending,", 'start': 1376.149, 'duration': 7.782}, {'end': 1392.742, 'text': 'or might be based on a particular field, or if that field was or if the cell was highlighted with a particular color, sorting the data.', 'start': 1383.931, 'duration': 8.811}, {'end': 1397.609, 'text': "so let's look at how excel can be used for sorting and filtering.", 'start': 1392.742, 'duration': 4.867}, {'end': 1401.854, 'text': "examples are pretty simple here, so let's check that.", 'start': 1397.609, 'duration': 4.245}, {'end': 1406.653, 'text': "so if we're going to sort and filter and say this is the data i have, Say, for example,", 'start': 1401.854, 'duration': 4.799}, {'end': 1411.478, 'text': 'I would want to sort the values in the department column alphabetically.', 'start': 1406.653, 'duration': 4.825}, {'end': 1417.824, 'text': "So what I can do is I can select department column and I'm already in the home tab.", 'start': 1411.858, 'duration': 5.966}, {'end': 1421.227, 'text': 'I can straight away go here with a sort and filter.', 'start': 1418.124, 'duration': 3.103}, {'end': 1427.713, 'text': "I can then say sort A to Z and that's basically alphabetically sorting your department column.", 'start': 1421.827, 'duration': 5.886}], 'summary': 'Excel can transpose data, sort/filter data, and sort department column alphabetically.', 'duration': 82.972, 'max_score': 1344.741, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk1344741.jpg'}, {'end': 1778.116, 'src': 'embed', 'start': 1752.423, 'weight': 7, 'content': [{'end': 1764.015, 'text': "i can go into number filters and then i could say well, i'm interested in values which are below average, above average might be greater than,", 'start': 1752.423, 'duration': 11.592}, {'end': 1766.938, 'text': 'and then i can choose what is the value.', 'start': 1764.015, 'duration': 2.923}, {'end': 1774.295, 'text': "so, for example, if we say i'm interested in food which is greater than $25, I could give a value here.", 'start': 1766.938, 'duration': 7.357}, {'end': 1778.116, 'text': 'I could say okay, and now I have applied the filter.', 'start': 1774.295, 'duration': 3.821}], 'summary': 'Describing the process of applying number filters, such as setting a threshold of food cost above $25.', 'duration': 25.693, 'max_score': 1752.423, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk1752423.jpg'}, {'end': 1889.112, 'src': 'embed', 'start': 1858.447, 'weight': 5, 'content': [{'end': 1862.349, 'text': "I'll say okay and now if you see this is the table created.", 'start': 1858.447, 'duration': 3.902}, {'end': 1867.458, 'text': 'It basically has different filters, which we have learned earlier, how to use.', 'start': 1862.975, 'duration': 4.483}, {'end': 1873.441, 'text': 'And this is basically my table, which is a collection of cells, which has some special features.', 'start': 1868.058, 'duration': 5.383}, {'end': 1876.763, 'text': 'So we can easily add rows to this table.', 'start': 1874.061, 'duration': 2.702}, {'end': 1879.024, 'text': 'We can add columns to this table.', 'start': 1877.243, 'duration': 1.781}, {'end': 1889.112, 'text': 'And we can even do some calculations so, for example, here I can click on this one, I can basically enter some field.', 'start': 1879.628, 'duration': 9.484}], 'summary': 'A table with filters and special features can add rows, columns, and perform calculations.', 'duration': 30.665, 'max_score': 1858.447, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk1858447.jpg'}, {'end': 2018.853, 'src': 'embed', 'start': 1995.105, 'weight': 4, 'content': [{'end': 2001.981, 'text': "So it says it is calculating the sum of the last three months and if that's what you would want to do,", 'start': 1995.105, 'duration': 6.876}, {'end': 2011.968, 'text': 'just hit on enter and it has automatically calculated the totals for all your rows for these three columns.', 'start': 2001.981, 'duration': 9.987}, {'end': 2015.15, 'text': 'so the sum formula is getting filled up.', 'start': 2011.968, 'duration': 3.182}, {'end': 2018.853, 'text': 'now i can select any particular cell and i can look in my address bar.', 'start': 2015.15, 'duration': 3.703}], 'summary': 'The tool calculates the sum of the last three months and automatically fills up the sum formula.', 'duration': 23.748, 'max_score': 1995.105, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk1995105.jpg'}, {'end': 2202.502, 'src': 'embed', 'start': 2172.806, 'weight': 3, 'content': [{'end': 2185.571, 'text': 'I would want to give a list of values and then I can type in my values here, which I can say produce, say for example meat, and then say bakery.', 'start': 2172.806, 'duration': 12.765}, {'end': 2189.113, 'text': 'now these are the values, so we can click on OK.', 'start': 2185.571, 'duration': 3.542}, {'end': 2192.474, 'text': 'And once we have done that.', 'start': 2190.793, 'duration': 1.681}, {'end': 2202.502, 'text': 'We basically have a drop down here next to apples, which will only show us the values which we can feed in under the department column.', 'start': 2192.878, 'duration': 9.624}], 'summary': 'User can input values to produce meat and bakery, enabling department-specific filtering.', 'duration': 29.696, 'max_score': 2172.806, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk2172806.jpg'}, {'end': 2281.233, 'src': 'embed', 'start': 2250.954, 'weight': 8, 'content': [{'end': 2261.776, 'text': "Let's see how we can import data or bring in data into our Excel from your local machine or from an external web source.", 'start': 2250.954, 'duration': 10.822}, {'end': 2267.918, 'text': 'So what we can do is we can open up a blank Excel sheet and say, for example,', 'start': 2262.617, 'duration': 5.301}, {'end': 2276.368, 'text': 'you have been provided a text file or a csv file and you would want to import that data into your excel sheet.', 'start': 2267.918, 'duration': 8.45}, {'end': 2278.21, 'text': 'that can be easily done.', 'start': 2276.368, 'duration': 1.842}, {'end': 2281.233, 'text': "so right now i've opened an excel sheet.", 'start': 2278.21, 'duration': 3.023}], 'summary': 'Learn how to import data into excel from local or web sources.', 'duration': 30.279, 'max_score': 2250.954, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk2250954.jpg'}, {'end': 2524.016, 'src': 'embed', 'start': 2497.882, 'weight': 9, 'content': [{'end': 2502.645, 'text': "Let's give the GitHub path, which is publicly available and then click on import.", 'start': 2497.882, 'duration': 4.763}, {'end': 2507.748, 'text': 'Now, once you click on import, it tells me there are two fields, data and value.', 'start': 2502.905, 'duration': 4.843}, {'end': 2511.731, 'text': 'These are within double quotes.', 'start': 2508.729, 'duration': 3.002}, {'end': 2513.528, 'text': 'Separated by comma.', 'start': 2512.327, 'duration': 1.201}, {'end': 2515.65, 'text': "So first, let's click on import.", 'start': 2513.788, 'duration': 1.862}, {'end': 2521.934, 'text': 'Now, once we do this, it will basically get the data from web and put in here.', 'start': 2516.49, 'duration': 5.444}, {'end': 2524.016, 'text': 'It says existing worksheet.', 'start': 2522.295, 'duration': 1.721}], 'summary': 'Import data from the github path and place it in an existing worksheet.', 'duration': 26.134, 'max_score': 2497.882, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk2497882.jpg'}, {'end': 2661.106, 'src': 'embed', 'start': 2626.761, 'weight': 10, 'content': [{'end': 2630.263, 'text': 'You could basically choose what kind of connection would you want.', 'start': 2626.761, 'duration': 3.502}, {'end': 2633.785, 'text': 'So these are all the different options which we can go for.', 'start': 2630.743, 'duration': 3.042}, {'end': 2637.816, 'text': 'and we can basically connect to a database.', 'start': 2634.574, 'duration': 3.242}, {'end': 2645.379, 'text': 'for example, if i have some database and say, for example, access database,', 'start': 2637.816, 'duration': 7.563}, {'end': 2651.222, 'text': 'i can see if there are some files with that particular database and i can import it.', 'start': 2645.379, 'duration': 5.843}, {'end': 2661.106, 'text': 'so similarly we can also, uh, click in here, which is new query, and that also gives you an option of getting the data from your files,', 'start': 2651.222, 'duration': 9.884}], 'summary': 'Various connection options available for accessing databases and importing data.', 'duration': 34.345, 'max_score': 2626.761, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk2626761.jpg'}], 'start': 985.841, 'title': 'Data manipulation in excel', 'summary': 'Covers techniques for splitting, transposing, sorting, and importing data in excel, offering step-by-step guidance and practical examples for efficient data manipulation.', 'chapters': [{'end': 1153.392, 'start': 985.841, 'title': 'Data splitting and transposing in spreadsheets', 'summary': 'Explains how to split data based on delimiters and use formulas to separate values in different cells, and also discusses the benefits of using transposing to switch rows into columns and vice versa.', 'duration': 167.551, 'highlights': ['The chapter explains how to split data based on delimiters and use formulas to separate values in different cells.', 'Discusses the benefits of using transposing to switch rows into columns and vice versa.']}, {'end': 1778.116, 'start': 1153.979, 'title': 'Excel: transposing and sorting data', 'summary': 'Explains how to transpose data in excel using shortcuts, special paste, formulas, and array formulas, and then demonstrates sorting and filtering data based on department, values, date, and color.', 'duration': 624.137, 'highlights': ['The chapter explains different methods to transpose data in Excel, including using shortcuts, special paste, and formulas, and demonstrates array formulas to transpose data.', 'The transcript provides a detailed demonstration of sorting data in Excel based on the department column, values, date, and color.', 'The chapter explains how to add, apply, and delete filters in Excel, including number filters such as above average and below average, and demonstrates applying filters based on specific values.']}, {'end': 2226.167, 'start': 1778.116, 'title': 'Excel data manipulation techniques', 'summary': 'Explains how to manipulate data in excel, including sorting, filtering, creating tables, adding rows and columns, performing calculations, and creating drop-down lists, making it easier to work with data efficiently.', 'duration': 448.051, 'highlights': ['The chapter explains how to create drop-down lists in Excel to restrict the values that can be entered in a specific column, offering efficiency and accuracy in data entry.', 'The chapter demonstrates the process of performing calculations in Excel, such as calculating totals and averages for specific data columns, enhancing data analysis capabilities.', 'The chapter illustrates the creation of tables in Excel and the ability to add or remove rows and columns, providing a structured format for data manipulation and computation.', 'The chapter details the process of sorting and filtering data in Excel, allowing for easy organization and retrieval of specific information based on user-defined criteria.']}, {'end': 2700.914, 'start': 2226.827, 'title': 'Importing data into excel', 'summary': 'Demonstrates importing data into excel from local machine or web sources, including importing csv files and connecting to databases, with step-by-step details and options provided for each method.', 'duration': 474.087, 'highlights': ['Importing CSV Files from Local Machine', 'Importing Data from Web', 'Connecting to Databases']}], 'duration': 1715.073, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk985841.jpg', 'highlights': ['The chapter details the process of sorting and filtering data in Excel, allowing for easy organization and retrieval of specific information based on user-defined criteria.', 'The chapter explains different methods to transpose data in Excel, including using shortcuts, special paste, and formulas, and demonstrates array formulas to transpose data.', 'The chapter explains how to split data based on delimiters and use formulas to separate values in different cells.', 'The chapter explains how to create drop-down lists in Excel to restrict the values that can be entered in a specific column, offering efficiency and accuracy in data entry.', 'The chapter demonstrates the process of performing calculations in Excel, such as calculating totals and averages for specific data columns, enhancing data analysis capabilities.', 'The chapter illustrates the creation of tables in Excel and the ability to add or remove rows and columns, providing a structured format for data manipulation and computation.', 'The transcript provides a detailed demonstration of sorting data in Excel based on the department column, values, date, and color.', 'The chapter explains how to add, apply, and delete filters in Excel, including number filters such as above average and below average, and demonstrates applying filters based on specific values.', 'Importing CSV Files from Local Machine', 'Importing Data from Web', 'Connecting to Databases', 'Discusses the benefits of using transposing to switch rows into columns and vice versa.']}, {'end': 4067.923, 'segs': [{'end': 2781.394, 'src': 'embed', 'start': 2756.089, 'weight': 5, 'content': [{'end': 2764.126, 'text': 'i can get into custom sort And then I can choose the column based on which I would want to sort the data.', 'start': 2756.089, 'duration': 8.037}, {'end': 2768.268, 'text': 'So I would look for the newest data to the oldest data.', 'start': 2764.167, 'duration': 4.101}, {'end': 2772.17, 'text': 'That means that would be in a descending order of dates,', 'start': 2768.749, 'duration': 3.421}, {'end': 2778.693, 'text': 'or you could say the oldest date or the earliest month will be towards the lower side of your sheet.', 'start': 2772.17, 'duration': 6.523}, {'end': 2781.394, 'text': 'So here we can select date listed.', 'start': 2779.213, 'duration': 2.181}], 'summary': 'Custom sorting allows selecting date column for descending order.', 'duration': 25.305, 'max_score': 2756.089, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk2756089.jpg'}, {'end': 2870.1, 'src': 'embed', 'start': 2841.428, 'weight': 4, 'content': [{'end': 2843.629, 'text': 'I already have the result here.', 'start': 2841.428, 'duration': 2.201}, {'end': 2850.112, 'text': "And how did I get this? So I'm looking for ascending order of area and descending order of agent name.", 'start': 2843.949, 'duration': 6.163}, {'end': 2853.353, 'text': 'So we can start with any particular column.', 'start': 2850.612, 'duration': 2.741}, {'end': 2854.413, 'text': 'That does not matter.', 'start': 2853.453, 'duration': 0.96}, {'end': 2859.776, 'text': 'So, for example, if I look into this Excel sheet, I have my agent name.', 'start': 2854.834, 'duration': 4.942}, {'end': 2860.556, 'text': 'Select this.', 'start': 2859.856, 'duration': 0.7}, {'end': 2863.597, 'text': 'which we want in a descending order.', 'start': 2861.116, 'duration': 2.481}, {'end': 2870.1, 'text': 'so we could either do a sort and then go for descending sort z to a.', 'start': 2863.597, 'duration': 6.503}], 'summary': 'Result obtained using ascending area and descending agent name sorting.', 'duration': 28.672, 'max_score': 2841.428, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk2841428.jpg'}, {'end': 3009.047, 'src': 'embed', 'start': 2979.501, 'weight': 3, 'content': [{'end': 2989.109, 'text': 'So what we can do is we can basically have area field selected and I would want to sort this particular data.', 'start': 2979.501, 'duration': 9.608}, {'end': 2993.793, 'text': 'So I have South County, Central and North County.', 'start': 2989.61, 'duration': 4.183}, {'end': 2996.976, 'text': 'So I can basically go for custom sort.', 'start': 2994.234, 'duration': 2.742}, {'end': 3002.745, 'text': "and then i can choose which is the value or column which i'm interested in.", 'start': 2998.263, 'duration': 4.482}, {'end': 3003.945, 'text': "let's go for area.", 'start': 3002.745, 'duration': 1.2}, {'end': 3009.047, 'text': 'we will go for something like cell values.', 'start': 3003.945, 'duration': 5.102}], 'summary': 'The data can be sorted by area field, with options for south county, central, and north county using custom sort and cell values.', 'duration': 29.546, 'max_score': 2979.501, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk2979501.jpg'}, {'end': 3150.025, 'src': 'embed', 'start': 3123.495, 'weight': 0, 'content': [{'end': 3129.077, 'text': 'So the problem statement is we would want to find all the houses in central area.', 'start': 3123.495, 'duration': 5.582}, {'end': 3137.341, 'text': 'Now, how do we do that? We can do a sorting, but we would want to use the filter which you see here is implemented.', 'start': 3129.698, 'duration': 7.643}, {'end': 3138.201, 'text': 'So how do you do it?', 'start': 3137.381, 'duration': 0.82}, {'end': 3144.863, 'text': 'So you can select this area and say, for example, I would want to apply filter.', 'start': 3138.661, 'duration': 6.202}, {'end': 3150.025, 'text': "I can just go in here and I can say let's get a filter on my first row.", 'start': 3144.863, 'duration': 5.162}], 'summary': 'The goal is to find all houses in the central area using filters for sorting and selection.', 'duration': 26.53, 'max_score': 3123.495, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk3123495.jpg'}, {'end': 3229.93, 'src': 'embed', 'start': 3200.426, 'weight': 2, 'content': [{'end': 3205.933, 'text': 'So I could do this or you can clear the filters from area and you get your data back.', 'start': 3200.426, 'duration': 5.507}, {'end': 3210.398, 'text': "So that's in one way you can filter out your data.", 'start': 3206.613, 'duration': 3.785}, {'end': 3214.006, 'text': "So let's look at an example of sort and filter,", 'start': 3210.945, 'duration': 3.061}, {'end': 3223.749, 'text': 'where we might have to filter the data based on two columns or multiple columns with different kind of values, where it could be and and or condition.', 'start': 3214.006, 'duration': 9.743}, {'end': 3229.93, 'text': 'Now say, for example, this is the data I have and this is the question which we need to answer,', 'start': 3224.309, 'duration': 5.621}], 'summary': 'Demonstrating data filtering with multiple conditions and examples.', 'duration': 29.504, 'max_score': 3200.426, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk3200426.jpg'}, {'end': 3549.907, 'src': 'embed', 'start': 3519.232, 'weight': 6, 'content': [{'end': 3522.974, 'text': 'So you can basically create a copy of the headers here.', 'start': 3519.232, 'duration': 3.742}, {'end': 3528.637, 'text': 'And this is where we will give our advanced criteria to filter the data.', 'start': 3523.534, 'duration': 5.103}, {'end': 3533.799, 'text': 'So the conditions which need to be met is we need to look at North County.', 'start': 3529.237, 'duration': 4.562}, {'end': 3541.103, 'text': 'So, for example, here in area, I can basically go ahead and select one of the values, North County.', 'start': 3534.459, 'duration': 6.644}, {'end': 3545.345, 'text': 'Now, the criteria is having two bedrooms only.', 'start': 3541.983, 'duration': 3.362}, {'end': 3549.907, 'text': "So let's say bedrooms and let's say the value should be two.", 'start': 3545.565, 'duration': 4.342}], 'summary': 'Using advanced criteria to filter data: north county area and two bedrooms.', 'duration': 30.675, 'max_score': 3519.232, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk3519232.jpg'}, {'end': 3923.171, 'src': 'embed', 'start': 3897.052, 'weight': 1, 'content': [{'end': 3905.074, 'text': 'And now you have your data filtered out in a different location in the sheet, which has been filtered based on your AND condition.', 'start': 3897.052, 'duration': 8.022}, {'end': 3912.62, 'text': 'So you can filter out the data in this way, or you could just apply a filter on a column and give the conditions.', 'start': 3905.492, 'duration': 7.128}, {'end': 3916.264, 'text': "Now let's solve one more interesting problem.", 'start': 3913.781, 'duration': 2.483}, {'end': 3923.171, 'text': 'And here we would want to use Excel where we would have an AND, AND, and OR condition.', 'start': 3916.784, 'duration': 6.387}], 'summary': 'Data filtered based on and condition in excel.', 'duration': 26.119, 'max_score': 3897.052, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk3897052.jpg'}], 'start': 2701.154, 'title': 'Data sorting and advanced filtering in excel', 'summary': 'Covers sorting data in excel based on date, area, and agent name, as well as filtering real estate data using advanced techniques to find houses with specific features and applying numerical and conditional filters to store the filtered data in a different location.', 'chapters': [{'end': 3096.503, 'start': 2701.154, 'title': 'Sorting data in excel', 'summary': 'Focuses on sorting data in excel, demonstrating how to sort data in descending order based on date listed, as well as sorting in ascending order of area and descending order of agent name, and finally sorting the data based on a custom order of area.', 'duration': 395.349, 'highlights': ['Demonstrating sorting in descending order based on date listed in Excel.', 'Explaining sorting in ascending order of area and descending order of agent name in Excel.', 'Illustrating sorting data in a custom order of area in Excel.']}, {'end': 3571.974, 'start': 3096.503, 'title': 'Filtering data in real estate', 'summary': 'Discusses how to filter real estate data to find houses in specific areas with specific features, using advanced filtering techniques and examples of filtering based on multiple conditions and columns with detailed steps and criteria.', 'duration': 475.471, 'highlights': ['The chapter discusses advanced filtering techniques for finding houses in specific areas with specific features.', 'Demonstrates filtering based on multiple conditions and columns with detailed steps and criteria.', 'Explains the process of filtering real estate data to find houses in specific areas with specific features.']}, {'end': 4067.923, 'start': 3571.974, 'title': 'Advanced filtering in excel', 'summary': 'Explains advanced filtering in excel, covering filtering by specific criteria, applying numerical filters, and using and and or conditions to filter data, showcasing how to filter data based on specific criteria, such as list price, bedrooms, and area, and store the filtered data in a different location in the sheet.', 'duration': 495.949, 'highlights': ['The chapter explains advanced filtering in Excel, covering filtering by specific criteria, applying numerical filters, and using AND and OR conditions to filter data.', 'Showcases how to filter data based on specific criteria, such as list price, bedrooms, and area, and store the filtered data in a different location in the sheet.', 'Demonstrates the method of applying numerical filters and using AND and OR conditions to filter data based on specific criteria.']}], 'duration': 1366.769, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk2701154.jpg', 'highlights': ['The chapter discusses advanced filtering techniques for finding houses in specific areas with specific features.', 'The chapter explains advanced filtering in Excel, covering filtering by specific criteria, applying numerical filters, and using AND and OR conditions to filter data.', 'Demonstrates filtering based on multiple conditions and columns with detailed steps and criteria.', 'Illustrating sorting data in a custom order of area in Excel.', 'Explaining sorting in ascending order of area and descending order of agent name in Excel.', 'Demonstrating sorting in descending order based on date listed in Excel.', 'Showcases how to filter data based on specific criteria, such as list price, bedrooms, and area, and store the filtered data in a different location in the sheet.']}, {'end': 5841.733, 'segs': [{'end': 4096.417, 'src': 'embed', 'start': 4067.943, 'weight': 0, 'content': [{'end': 4070.123, 'text': 'So we have given our filtering criteria.', 'start': 4067.943, 'duration': 2.18}, {'end': 4079.706, 'text': 'Now to get the result, what we can do is we can go into data, we can go into advanced, and we can say copy to another location.', 'start': 4070.663, 'duration': 9.043}, {'end': 4087.368, 'text': 'So our list range is selected, which is columns A to J, row number one to 126.', 'start': 4079.906, 'duration': 7.462}, {'end': 4096.417, 'text': 'Your criteria range is given in M1 to V3, where we have specified And we are saying the result would be M7 to V7.', 'start': 4087.368, 'duration': 9.049}], 'summary': 'Filtering data from columns a to j, row 1 to 126 using criteria from m1 to v3, resulting in m7 to v7.', 'duration': 28.474, 'max_score': 4067.943, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk4067943.jpg'}, {'end': 4338.842, 'src': 'embed', 'start': 4308.611, 'weight': 3, 'content': [{'end': 4320.931, 'text': 'you have count if and count ifs and you can be working on various functionalities Of Excel to easily help you in doing some calculations,', 'start': 4308.611, 'duration': 12.32}, {'end': 4326.657, 'text': 'computations, working with your data, working with your different cell values.', 'start': 4320.931, 'duration': 5.726}, {'end': 4338.842, 'text': "So let's look at some example of using functions like some or some if So for that, let's go to this sheet and here we have some data.", 'start': 4327.237, 'duration': 11.605}], 'summary': 'Learn about using count if and count ifs functions in excel for data analysis and calculations.', 'duration': 30.231, 'max_score': 4308.611, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk4308611.jpg'}, {'end': 4569.031, 'src': 'embed', 'start': 4538.789, 'weight': 1, 'content': [{'end': 4546.676, 'text': 'So the criteria is either a value or you can point it to a cell which has that particular value.', 'start': 4538.789, 'duration': 7.887}, {'end': 4552.141, 'text': 'So as per our problem statement, we are looking for the units which are sold in East region.', 'start': 4546.816, 'duration': 5.325}, {'end': 4554.303, 'text': 'So I can select the value East here.', 'start': 4552.161, 'duration': 2.142}, {'end': 4562.891, 'text': 'And then my SUMIF needs the range on which you want to calculate a sum.', 'start': 4555.084, 'duration': 7.807}, {'end': 4565.63, 'text': "Let's select this.", 'start': 4564.77, 'duration': 0.86}, {'end': 4569.031, 'text': 'And now we are interested in finding out the sum of units.', 'start': 4565.97, 'duration': 3.061}], 'summary': 'Using sumif function to calculate sum of units sold in east region.', 'duration': 30.242, 'max_score': 4538.789, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk4538789.jpg'}, {'end': 4858.73, 'src': 'embed', 'start': 4829.188, 'weight': 2, 'content': [{'end': 4834.514, 'text': 'So it says, what is the total revenue generated from central region.', 'start': 4829.188, 'duration': 5.326}, {'end': 4837.016, 'text': 'So we need the total revenue generated.', 'start': 4834.894, 'duration': 2.122}, {'end': 4838.618, 'text': 'We know there is a revenue column.', 'start': 4837.076, 'duration': 1.542}, {'end': 4841.681, 'text': 'We are interested in getting the total revenue generated.', 'start': 4839.239, 'duration': 2.442}, {'end': 4853.229, 'text': 'We are saying the filtering criteria is central region and we say in that we would be interested only in the item if it is pencil.', 'start': 4842.622, 'duration': 10.607}, {'end': 4858.73, 'text': 'How do I do it? So I can use SUMIFS where you can pass in multiple criteria.', 'start': 4853.429, 'duration': 5.301}], 'summary': 'Total revenue generated from central region with pencil items using sumifs.', 'duration': 29.542, 'max_score': 4829.188, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk4829188.jpg'}], 'start': 4067.943, 'title': 'Advanced excel data functions', 'summary': 'Demonstrates advanced excel data filtering and functions, including sumif and sumifs, for specific data filters, calculations, and data analysis. it explains how to use these functions to filter and calculate total units sold, revenue generated, and apply multiple criteria for data analysis.', 'chapters': [{'end': 4338.842, 'start': 4067.943, 'title': 'Excel data filtering and functions', 'summary': 'Demonstrates how to use advanced filtering in excel to create specific data filters and explores the use of different inbuilt functions and formulas for calculations and data analysis.', 'duration': 270.899, 'highlights': ['The chapter demonstrates how to use advanced filtering in Excel to create specific data filters, with a range from columns A to J, rows 1 to 126, and criteria specified in range M1 to V3, resulting in data with bedroom values 3 or 4 and list prices greater than 300,000.', 'In addition to advanced filtering, the chapter explores the use of different inbuilt functions and formulas for calculations and data analysis, such as is logical, subtotal, count if, and count ifs, to easily perform computations and work with data.', 'The chapter also showcases the use of inbuilt functions like now and time for obtaining the current date and time, and converting hours, minutes, and seconds into Excel serial numbers formatted with a time format, providing flexibility in data analysis and calculation.', 'Furthermore, the chapter emphasizes the flexibility of Excel in different data analysis scenarios, with the ability to search for and use various inbuilt functions such as integer, sum, average, truncating data, getting absolute value, getting square root, count, and max value.']}, {'end': 4764.219, 'start': 4339.062, 'title': 'Using sumif function for data analysis', 'summary': 'Explains how to use the sumif function to filter and calculate total units sold in the east region and total revenue generated from specific products, providing examples and steps for implementation.', 'duration': 425.157, 'highlights': ['Explaining the use of the SUMIF function for filtering and calculating total units sold in the East region, demonstrating the steps and formulas for implementation.', 'Demonstrating the application of the SUMIF function to calculate the total revenue generated from specific products, such as binders, and providing clear steps for adjusting the filtering criteria to analyze different products.', "Emphasizing the flexibility of the SUMIF function by allowing the user to change the filtering criteria to analyze different products, with a practical demonstration of adjusting the criteria from 'binder' to 'pencil'."]}, {'end': 5057.541, 'start': 4764.219, 'title': 'Using sumifs for multiple criteria', 'summary': 'Demonstrates the usage of sumifs to calculate the total revenue generated from the central region where the item is a pencil, by applying multiple filtering criteria to the revenue and region columns, selecting all rows, and providing specific filtering criteria.', 'duration': 293.322, 'highlights': ['Demonstrates the usage of SUMIFS to calculate the total revenue generated from the central region where the item is a pencil', 'Applying multiple filtering criteria to the revenue and region columns', 'Selecting all rows and providing specific filtering criteria']}, {'end': 5841.733, 'start': 5057.541, 'title': 'Using sumifs, countif, and countifs in excel', 'summary': 'Explains the usage of sumifs, countif, and countifs functions in excel to calculate the number of units sold by sales representative jones, excluding the pencil item, the total number of times gil made a sale, and the sales representative who made a sale more than three times.', 'duration': 784.192, 'highlights': ['The chapter explains the usage of SUMIFS function to calculate the number of units sold by sales representative Jones, excluding the pencil item.', 'It details the usage of COUNTIF function to determine the total number of times Gil made a sale.', 'The chapter explains the usage of COUNTIF function to identify the sales representative who made a sale more than three times.']}], 'duration': 1773.79, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk4067943.jpg', 'highlights': ['The chapter demonstrates how to use advanced filtering in Excel to create specific data filters, with a range from columns A to J, rows 1 to 126, and criteria specified in range M1 to V3, resulting in data with bedroom values 3 or 4 and list prices greater than 300,000.', 'Explaining the use of the SUMIF function for filtering and calculating total units sold in the East region, demonstrating the steps and formulas for implementation.', 'Demonstrates the usage of SUMIFS to calculate the total revenue generated from the central region where the item is a pencil', 'In addition to advanced filtering, the chapter explores the use of different inbuilt functions and formulas for calculations and data analysis, such as is logical, subtotal, count if, and count ifs, to easily perform computations and work with data.']}, {'end': 6620.116, 'segs': [{'end': 5953.287, 'src': 'embed', 'start': 5903.1, 'weight': 0, 'content': [{'end': 5911.742, 'text': 'So conditional formatting is very useful for people who would want to work on huge amount of data and easily perform some data analysis.', 'start': 5903.1, 'duration': 8.642}, {'end': 5915.723, 'text': "It's easy to use as it is shown here.", 'start': 5912.723, 'duration': 3}, {'end': 5921.78, 'text': 'And with your conditional formatting, You can format cells based on a preset condition.', 'start': 5916.204, 'duration': 5.576}, {'end': 5927.145, 'text': 'You can perform conditional formatting to identify cells.', 'start': 5922.5, 'duration': 4.645}, {'end': 5936.433, 'text': 'You can highlight a few significant cells and you can easily perform conditional formatting as shown on the left side.', 'start': 5928.025, 'duration': 8.408}, {'end': 5941.097, 'text': "Now, how do we work with conditional formatting? Let's have a quick look.", 'start': 5937.294, 'duration': 3.803}, {'end': 5953.287, 'text': 'So say for example, we have our Excel sheet and if you see here, I am highlighting the salesperson who have generated revenue greater than 10, 000.', 'start': 5941.758, 'duration': 11.529}], 'summary': 'Conditional formatting in excel helps analyze large data by easily highlighting cells meeting preset conditions.', 'duration': 50.187, 'max_score': 5903.1, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk5903100.jpg'}, {'end': 6245.648, 'src': 'embed', 'start': 6219.071, 'weight': 2, 'content': [{'end': 6228.054, 'text': 'and now, if you see the lowest values have been highlighted as red, you have mid values and then you have the positive value.', 'start': 6219.071, 'duration': 8.983}, {'end': 6236.882, 'text': 'so this is a three color scale and that easily helps me in identifying the data based on the cell values.', 'start': 6228.054, 'duration': 8.828}, {'end': 6245.648, 'text': 'now, in conditional formatting, what you can also do is you can basically color the cells based on their values.', 'start': 6236.882, 'duration': 8.766}], 'summary': 'Three-color scale helps identify data based on cell values.', 'duration': 26.577, 'max_score': 6219.071, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk6219071.jpg'}, {'end': 6508.238, 'src': 'embed', 'start': 6475.728, 'weight': 5, 'content': [{'end': 6476.948, 'text': "and that's it.", 'start': 6475.728, 'duration': 1.22}, {'end': 6482.313, 'text': 'so now you have your values, which are top or bottom 10 values.', 'start': 6476.948, 'duration': 5.365}, {'end': 6490.26, 'text': 'so you are using conditional formatting, where you are basically highlighting your cell values based on different colors,', 'start': 6482.313, 'duration': 7.947}, {'end': 6496.905, 'text': 'and here easy conditional formatting based on different rules helps us to do that now.', 'start': 6490.26, 'duration': 6.645}, {'end': 6508.238, 'text': 'similarly, you can also have the values, which is basically showing you how the values are increasing.', 'start': 6496.905, 'duration': 11.333}], 'summary': 'Using conditional formatting to highlight top or bottom 10 values, and visualize increasing values.', 'duration': 32.51, 'max_score': 6475.728, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk6475728.jpg'}], 'start': 5841.733, 'title': 'Excel and data visualization with conditional formatting', 'summary': 'Delves into excel conditional formatting, enabling users to identify, differentiate, and visualize data values based on specific criteria or rules. it demonstrates creating a three-color scale and visualizing data for easy interpretation.', 'chapters': [{'end': 6184.633, 'start': 5841.733, 'title': 'Excel conditional formatting', 'summary': 'Explains the usefulness of conditional formatting in excel, allowing users to easily identify and differentiate data values based on certain criteria or rules, and format cells dynamically. it demonstrates how to highlight cells based on specific conditions and create a three-color scale, making data analysis and computation more dynamic and manageable.', 'duration': 342.9, 'highlights': ['Conditional formatting allows users to easily identify and differentiate data values based on certain criteria or rules, making data analysis more dynamic and manageable.', 'Demonstration of highlighting cells based on specific conditions, such as highlighting salespersons who have generated revenue greater than a specified amount, making computation and calculation more dynamic.', 'Explanation of creating a three-color scale to format cells, providing a visual representation of data values based on their range and percentile.']}, {'end': 6620.116, 'start': 6184.693, 'title': 'Conditional formatting for data visualization', 'summary': 'Highlights the use of conditional formatting to visualize data, including applying three-color scale, color coding cells based on their values, and identifying top and bottom values, enabling easy identification and interpretation of data.', 'duration': 435.423, 'highlights': ['Applying three-color scale to highlight lowest, mid, and highest values in red, orange, and green, making it easy to identify data based on cell values.', 'Color coding cells based on their values, such as using green for values above average and yellow for values below average, aiding in quick data interpretation.', 'Identifying top and bottom values by applying specific colors, such as highlighting top 10 values in blue and bottom 10 values in orange, facilitating easy visualization of extreme data points.']}], 'duration': 778.383, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk5841733.jpg', 'highlights': ['Conditional formatting enables dynamic data analysis and management.', 'Highlighting cells based on specific conditions enhances computation.', 'Creating a three-color scale provides visual representation of data values.', 'Applying three-color scale aids in identifying data based on cell values.', 'Color coding cells based on values aids in quick data interpretation.', 'Identifying top and bottom values by applying specific colors facilitates visualization.']}, {'end': 7292.486, 'segs': [{'end': 6797.127, 'src': 'embed', 'start': 6747.304, 'weight': 0, 'content': [{'end': 6751.307, 'text': "So I can apply this and that's how I use conditional formatting.", 'start': 6747.304, 'duration': 4.003}, {'end': 6759.672, 'text': 'So conditional formatting can be very useful if you would want to use icon set, if you want to use your data bars,', 'start': 6751.327, 'duration': 8.345}, {'end': 6768.598, 'text': 'if you would want to highlight particular values, if you would want to color code based on some calculation,', 'start': 6759.672, 'duration': 8.926}, {'end': 6779.332, 'text': 'if you would want to use a three color or a two color scale, or if you would want to just find out values based on Some simple calculation.', 'start': 6768.598, 'duration': 10.734}, {'end': 6792.823, 'text': 'so conditional formatting is used extensively by data analysts or people who are working business intelligence teams or people who would want to use Excel to easily identify the data.', 'start': 6779.332, 'duration': 13.491}, {'end': 6797.127, 'text': 'easily identify the cells which contain particular value.', 'start': 6794.064, 'duration': 3.063}], 'summary': 'Conditional formatting in excel is extensively used by data analysts to easily identify data based on values, calculations, and color codes.', 'duration': 49.823, 'max_score': 6747.304, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk6747304.jpg'}, {'end': 6880.2, 'src': 'embed', 'start': 6851.892, 'weight': 1, 'content': [{'end': 6858.742, 'text': 'so data validation really helps us in validating the data which is being fed in two particular fields.', 'start': 6851.892, 'duration': 6.85}, {'end': 6866.693, 'text': "Now it's a feature in excel which is mainly used to control what a user can fill in a cell.", 'start': 6860.29, 'duration': 6.403}, {'end': 6869.855, 'text': 'You can decide what type of values must be entered.', 'start': 6867.073, 'duration': 2.782}, {'end': 6880.2, 'text': 'You can also restrict user to enter only valid data and if any invalid data is entered an error message will be displayed.', 'start': 6870.535, 'duration': 9.665}], 'summary': 'Data validation in excel ensures accurate data entry, restricting invalid inputs.', 'duration': 28.308, 'max_score': 6851.892, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk6851892.jpg'}, {'end': 7045.576, 'src': 'embed', 'start': 7014.379, 'weight': 5, 'content': [{'end': 7023.042, 'text': 'So we can basically control data validation in this particular column and that will allow only 15 characters.', 'start': 7014.379, 'duration': 8.663}, {'end': 7029.224, 'text': 'It will pop up a message if the user really wants to go beyond the particular limit.', 'start': 7023.042, 'duration': 6.182}, {'end': 7032.746, 'text': 'now you also have, similarly, date of birth.', 'start': 7029.904, 'duration': 2.842}, {'end': 7042.313, 'text': 'so the restriction is date of birth should be between 10 jan 1990 to 30 december 1998.', 'start': 7032.746, 'duration': 9.567}, {'end': 7044.375, 'text': 'so this is what we want to restrict.', 'start': 7042.313, 'duration': 2.062}, {'end': 7045.576, 'text': 'how do we do that?', 'start': 7044.375, 'duration': 1.201}], 'summary': 'Data validation limits column to 15 characters; dob restricted from 10 jan 1990 to 30 dec 1998.', 'duration': 31.197, 'max_score': 7014.379, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk7014379.jpg'}], 'start': 6620.156, 'title': 'Excel tools and data validation', 'summary': "Covers excel's conditional formatting for highlighting cell values based on icons, color scales, and data bars, along with data validation to restrict input length, character limits, date restrictions, email format, and numerical ranges, offering valuable insights for data analysts and business intelligence teams.", 'chapters': [{'end': 7014.379, 'start': 6620.156, 'title': 'Excel conditional formatting and data validation', 'summary': 'Discusses the use of conditional formatting in excel to highlight cell values based on icons, color scales, and data bars, and the application of data validation to restrict input length in cells, providing a useful tool for data analysts and business intelligence teams.', 'duration': 394.223, 'highlights': ['The chapter explains the use of conditional formatting to highlight cell values in Excel, such as using icon sets and color scales to easily identify significant data, which can be very useful for data analysts and business intelligence teams.', "It demonstrates the process of applying conditional formatting, including choosing styles of icons, giving specific values, and managing rules, providing a comprehensive understanding of the feature's functionality.", 'It introduces the concept of data validation in Excel, where users can restrict input length in cells, control the type of values entered, and display error messages for invalid data, offering a valuable tool for ensuring data accuracy and integrity.', 'The transcript provides a step-by-step demonstration of data validation, including setting rules for text length and applying changes to multiple cells, showcasing the practical implementation of data validation in Excel.']}, {'end': 7292.486, 'start': 7014.379, 'title': 'Data validation and restriction rules', 'summary': 'Explains how to apply data validation rules for character limits, date restrictions, email format, and numerical ranges in excel, covering specific examples and the process for implementing them.', 'duration': 278.107, 'highlights': ['The chapter highlights the process of applying data validation for character limits, date restrictions, email format, and numerical ranges in Excel, including setting up input messages and error alerts for user guidance.', 'The explanation includes examples such as restricting a column to allow only 15 characters, setting date of birth restrictions, applying email format validation, and limiting salary and rank values, providing a comprehensive overview of data validation rules for various data types.', 'The speaker demonstrates the step-by-step process for setting up data validation rules, such as selecting the field, choosing the validation criteria, inputting custom formulas, and defining input messages and error alerts, offering practical guidance for implementing data validation effectively in Excel.', 'The chapter also covers the flexibility in choosing validation criteria, such as whole numbers, decimals, and specific ranges, showcasing the diverse options available for enforcing data restrictions in Excel.']}], 'duration': 672.33, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk6620156.jpg', 'highlights': ['The chapter explains the use of conditional formatting to highlight cell values in Excel, such as using icon sets and color scales to easily identify significant data, which can be very useful for data analysts and business intelligence teams.', 'The chapter highlights the process of applying data validation for character limits, date restrictions, email format, and numerical ranges in Excel, including setting up input messages and error alerts for user guidance.', 'It introduces the concept of data validation in Excel, where users can restrict input length in cells, control the type of values entered, and display error messages for invalid data, offering a valuable tool for ensuring data accuracy and integrity.', 'The chapter also covers the flexibility in choosing validation criteria, such as whole numbers, decimals, and specific ranges, showcasing the diverse options available for enforcing data restrictions in Excel.', "It demonstrates the process of applying conditional formatting, including choosing styles of icons, giving specific values, and managing rules, providing a comprehensive understanding of the feature's functionality.", 'The explanation includes examples such as restricting a column to allow only 15 characters, setting date of birth restrictions, applying email format validation, and limiting salary and rank values, providing a comprehensive overview of data validation rules for various data types.', 'The transcript provides a step-by-step demonstration of data validation, including setting rules for text length and applying changes to multiple cells, showcasing the practical implementation of data validation in Excel.', 'The speaker demonstrates the step-by-step process for setting up data validation rules, such as selecting the field, choosing the validation criteria, inputting custom formulas, and defining input messages and error alerts, offering practical guidance for implementing data validation effectively in Excel.']}, {'end': 8364.805, 'segs': [{'end': 7377.651, 'src': 'embed', 'start': 7349.957, 'weight': 0, 'content': [{'end': 7355.361, 'text': 'then it tells me for Maharashtra I can only enter Pune, Mumbai, Nasik.', 'start': 7349.957, 'duration': 5.404}, {'end': 7362.807, 'text': 'Now, how do I do this? So say, for example, you take an empty field and you want to restrict the values of city names.', 'start': 7355.481, 'duration': 7.326}, {'end': 7363.908, 'text': 'So I could.', 'start': 7363.387, 'duration': 0.521}, {'end': 7366.448, 'text': 'select data validation.', 'start': 7364.668, 'duration': 1.78}, {'end': 7372.229, 'text': 'i could basically select list and then it tells me you need to enter the list values.', 'start': 7366.448, 'duration': 5.781}, {'end': 7373.55, 'text': 'that is the source.', 'start': 7372.229, 'duration': 1.321}, {'end': 7377.651, 'text': 'so you click here and then i can just select these fields.', 'start': 7373.55, 'duration': 4.101}], 'summary': 'Data validation can restrict city names, e.g. for maharashtra: pune, mumbai, nasik.', 'duration': 27.694, 'max_score': 7349.957, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk7349957.jpg'}, {'end': 7519.298, 'src': 'embed', 'start': 7490.712, 'weight': 1, 'content': [{'end': 7498.74, 'text': 'so if you can check the data validation rule, i have used list and then i have said indirect f2.', 'start': 7490.712, 'duration': 8.028}, {'end': 7506.967, 'text': "so basically i'm giving in a formula which relates to the value which is in for the city Maharashtra.", 'start': 7498.74, 'duration': 8.227}, {'end': 7508.449, 'text': 'so we could do this.', 'start': 7506.967, 'duration': 1.482}, {'end': 7515.955, 'text': 'or, in a simpler way, we could do this and then just drag and drop here so we could check for Maharashtra.', 'start': 7508.449, 'duration': 7.506}, {'end': 7517.677, 'text': 'what are the values?', 'start': 7515.955, 'duration': 1.722}, {'end': 7519.298, 'text': "let's choose a different city.", 'start': 7517.677, 'duration': 1.621}], 'summary': 'Using data validation rules to create formulas for city values in maharashtra and other cities.', 'duration': 28.586, 'max_score': 7490.712, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk7490712.jpg'}, {'end': 7664.558, 'src': 'embed', 'start': 7585.031, 'weight': 5, 'content': [{'end': 7587.432, 'text': 'So this is how you can do list validation.', 'start': 7585.031, 'duration': 2.401}, {'end': 7598.297, 'text': 'So you can provide a list of values and then you can restrict the values in a cell which should be belonging to a particular list.', 'start': 7587.913, 'duration': 10.384}, {'end': 7605.66, 'text': 'So this is how you do a simple data validation by restricting the data in the form of a list.', 'start': 7598.997, 'duration': 6.663}, {'end': 7609.501, 'text': "Now let's learn about pivot charts and tables,", 'start': 7606.8, 'duration': 2.701}, {'end': 7618.118, 'text': 'which is one more very useful feature of excel and which allows you to work with your data or perform data analysis.', 'start': 7609.501, 'duration': 8.617}, {'end': 7621.145, 'text': 'now, pivot table is a summary of your data.', 'start': 7618.118, 'duration': 3.027}, {'end': 7626.615, 'text': 'It is used in cases where there are numerous rows and columns in your data set.', 'start': 7622.273, 'duration': 4.342}, {'end': 7634.68, 'text': 'And it allows you to group your data in several ways so that you can derive meaningful information from it.', 'start': 7627.496, 'duration': 7.184}, {'end': 7639.702, 'text': 'Now, the visual representation of a pivot table is termed as a pivot chart.', 'start': 7635.3, 'duration': 4.402}, {'end': 7642.824, 'text': "Now, how do we do that? So let's see an example.", 'start': 7639.983, 'duration': 2.841}, {'end': 7645.125, 'text': 'Now, here is some data.', 'start': 7643.104, 'duration': 2.021}, {'end': 7653.37, 'text': 'Here, you see we have some row labels, which basically gives me some category items here.', 'start': 7645.245, 'duration': 8.125}, {'end': 7662.717, 'text': 'it also tells me the sum of sales and basically it gives me, per item, what is the total sum of sales which were made now?', 'start': 7653.37, 'duration': 9.347}, {'end': 7664.558, 'text': 'how do i get this here?', 'start': 7662.717, 'duration': 1.841}], 'summary': 'Learn list validation and pivot charts for data analysis in excel.', 'duration': 79.527, 'max_score': 7585.031, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk7585031.jpg'}, {'end': 7772.622, 'src': 'embed', 'start': 7743.057, 'weight': 7, 'content': [{'end': 7748.76, 'text': 'so, as per the problem, we need to find out what the total sales for each category.', 'start': 7743.057, 'duration': 5.703}, {'end': 7754.582, 'text': "so let's go in here and let's select the field category now, as soon as you do that,", 'start': 7748.76, 'duration': 5.822}, {'end': 7765.697, 'text': 'it shows that the rows which are being selected are for this column category and now we are interested in getting the sales.', 'start': 7754.582, 'duration': 11.115}, {'end': 7769.16, 'text': 'so we would want the sales per category.', 'start': 7765.697, 'duration': 3.463}, {'end': 7770.5, 'text': "so let's select this.", 'start': 7769.16, 'duration': 1.34}, {'end': 7772.622, 'text': 'so you see, sum of sales is selected.', 'start': 7770.5, 'duration': 2.122}], 'summary': 'Find total sales for each category, select category field, show sum of sales.', 'duration': 29.565, 'max_score': 7743.057, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk7743057.jpg'}, {'end': 7885.216, 'src': 'embed', 'start': 7856.654, 'weight': 8, 'content': [{'end': 7866.722, 'text': 'and here you see there is a breakdown and then, basically, you can also apply a filter which basically says what is the data you want?', 'start': 7856.654, 'duration': 10.068}, {'end': 7871.546, 'text': 'and if you are interested in finding out a particular value now, how do we do this?', 'start': 7866.722, 'duration': 4.824}, {'end': 7874.487, 'text': 'So, for example, let me get rid of this.', 'start': 7872.085, 'duration': 2.402}, {'end': 7885.216, 'text': 'Now we know how we can find out the category of items, but we would want to find out which subcategory of items sold the maximum under each category.', 'start': 7875.068, 'duration': 10.148}], 'summary': 'The transcript discusses applying filters and finding maximum subcategory sales.', 'duration': 28.562, 'max_score': 7856.654, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk7856654.jpg'}, {'end': 8152.394, 'src': 'embed', 'start': 8119.028, 'weight': 3, 'content': [{'end': 8123.152, 'text': 'So this is how you can easily use pivot tables and you can do some analysis.', 'start': 8119.028, 'duration': 4.124}, {'end': 8125.054, 'text': "Let's look at some more examples.", 'start': 8123.212, 'duration': 1.842}, {'end': 8138.686, 'text': "Now let's see if you have to answer this question, which says which were the top three states for each region that made the highest average profit?", 'start': 8127.276, 'duration': 11.41}, {'end': 8140.788, 'text': 'Now, how do we calculate that?', 'start': 8139.287, 'duration': 1.501}, {'end': 8143.671, 'text': 'So, for example, this is the data we have.', 'start': 8141.489, 'duration': 2.182}, {'end': 8152.394, 'text': "And as I've instructed earlier, you can select the first one first column, you can click on insert go into people table.", 'start': 8144.31, 'duration': 8.084}], 'summary': 'Learn to use pivot tables for analysis and answer specific questions about top three states for highest average profit.', 'duration': 33.366, 'max_score': 8119.028, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk8119028.jpg'}, {'end': 8200.184, 'src': 'embed', 'start': 8170.229, 'weight': 4, 'content': [{'end': 8182.337, 'text': 'so we are interested in finding out top three states within each region which have made the highest profit or which have made the highest average profit.', 'start': 8170.229, 'duration': 12.108}, {'end': 8186.499, 'text': 'so for that, first we will select region.', 'start': 8182.337, 'duration': 4.162}, {'end': 8194.503, 'text': 'so when we select region, it shows here region and within region you will then select state.', 'start': 8186.499, 'duration': 8.004}, {'end': 8198.325, 'text': 'so within every region you have multiple states.', 'start': 8194.503, 'duration': 3.822}, {'end': 8200.184, 'text': "so that's what we are selecting.", 'start': 8198.325, 'duration': 1.859}], 'summary': 'Identify top 3 states with highest profit in each region', 'duration': 29.955, 'max_score': 8170.229, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk8170229.jpg'}], 'start': 7292.486, 'title': 'Data validation and pivot tables in excel', 'summary': 'Explains implementing simple data validation, restricting cell values, and using excel list validation. it also covers pivot tables and charts for summarizing large datasets, and demonstrates using pivot tables for data analysis by filtering and analyzing sales data, showing the top three states for each region with the highest average profit.', 'chapters': [{'end': 7584.651, 'start': 7292.486, 'title': 'Simple data validation and restricting cell values', 'summary': 'Explains how to implement simple data validation and restrict values in cells based on a list of items, demonstrating the process for city names and places within those cities, and the use of data validation rules and formulas.', 'duration': 292.165, 'highlights': ["Implemented data validation by selecting 'list' and specifying the source values, restricting the input to specified city names and places within those cities.", 'Demonstrated the use of indirect formula in data validation rule to dynamically restrict values based on the selected city, allowing for efficient data validation implementation.', "Explained the process of manually feeding values or using formulas such as 'indirect' in data validation to restrict input based on selected city, showcasing alternative methods for implementing data validation."]}, {'end': 7874.487, 'start': 7585.031, 'title': 'Excel list validation and pivot tables', 'summary': 'Covers list validation in excel, restricting data in the form of a list, and pivot tables and charts, where a pivot table is used for summarizing large datasets, and a pivot chart is the visual representation of a pivot table.', 'duration': 289.456, 'highlights': ['Pivot table is used in cases with numerous rows and columns in a data set and allows grouping data in several ways.', 'Pivot chart is the visual representation of a pivot table, showing meaningful information derived from the data.', "Creating a pivot table to find the total sales under each category of items, using the 'sum of sales' as the selected field.", 'Applying a filter to find out a particular value within the data set.', 'Performing list validation by providing a list of values and restricting the data in a cell to belong to a particular list.']}, {'end': 8364.805, 'start': 7875.068, 'title': 'Using pivot tables for data analysis', 'summary': 'Demonstrates using pivot tables to filter and analyze sales data by subcategory and region, showing the top three states for each region with the highest average profit.', 'duration': 489.737, 'highlights': ['Using pivot tables to analyze subcategory sales', 'Identifying top three states with highest average profit for each region']}], 'duration': 1072.319, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk7292486.jpg', 'highlights': ["Implemented data validation by selecting 'list' and specifying the source values, restricting the input to specified city names and places within those cities.", 'Demonstrated the use of indirect formula in data validation rule to dynamically restrict values based on the selected city, allowing for efficient data validation implementation.', "Explained the process of manually feeding values or using formulas such as 'indirect' in data validation to restrict input based on selected city, showcasing alternative methods for implementing data validation.", 'Using pivot tables to analyze subcategory sales', 'Identifying top three states with highest average profit for each region', 'Pivot table is used in cases with numerous rows and columns in a data set and allows grouping data in several ways.', 'Pivot chart is the visual representation of a pivot table, showing meaningful information derived from the data.', "Creating a pivot table to find the total sales under each category of items, using the 'sum of sales' as the selected field.", 'Applying a filter to find out a particular value within the data set.', 'Performing list validation by providing a list of values and restricting the data in a cell to belong to a particular list.']}, {'end': 9326.072, 'segs': [{'end': 8607.173, 'src': 'embed', 'start': 8563.963, 'weight': 0, 'content': [{'end': 8572.905, 'text': 'So technically speaking, if you look at all these values, which are subcategories, and if you would total them, that would be your total grand total.', 'start': 8563.963, 'duration': 8.942}, {'end': 8576.326, 'text': 'So this is how we can solve a simple problem like this.', 'start': 8573.346, 'duration': 2.98}, {'end': 8584.434, 'text': 'What is the percentage contribution of each subcategory of products under each category to the total sales.', 'start': 8576.827, 'duration': 7.607}, {'end': 8592.241, 'text': 'The next question is which customer made the lowest profit in the home office segment in each state?', 'start': 8586.256, 'duration': 5.985}, {'end': 8597.245, 'text': 'Now, here we know that we are looking for home office segment.', 'start': 8592.541, 'duration': 4.704}, {'end': 8601.328, 'text': 'We are looking for customer which made the lowest profit.', 'start': 8597.986, 'duration': 3.342}, {'end': 8607.173, 'text': 'We are also looking for the state as the main criteria.', 'start': 8602.009, 'duration': 5.164}], 'summary': 'Analyzing subcategory sales contribution and finding lowest profit customer by state in home office segment.', 'duration': 43.21, 'max_score': 8563.963, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk8563963.jpg'}, {'end': 8925.538, 'src': 'embed', 'start': 8892.975, 'weight': 2, 'content': [{'end': 8897.638, 'text': 'So that will basically give me all the regions as different columns.', 'start': 8892.975, 'duration': 4.663}, {'end': 8900.56, 'text': 'And then finally we want the sales.', 'start': 8898.278, 'duration': 2.282}, {'end': 8901.8, 'text': "So let's select this.", 'start': 8900.66, 'duration': 1.14}, {'end': 8905.383, 'text': "And now let's look what we have.", 'start': 8902.801, 'duration': 2.582}, {'end': 8913.668, 'text': 'So if you see here, we have our data, which is for each quarter.', 'start': 8906.043, 'duration': 7.625}, {'end': 8925.538, 'text': 'It gives me the total data, but what we would be interested in is not looking at the total data, but we are only interested in quarter of 2016.', 'start': 8915.194, 'duration': 10.344}], 'summary': 'Data presented in columns by region, with focus on q1 2016 sales.', 'duration': 32.563, 'max_score': 8892.975, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk8892975.jpg'}, {'end': 9148.649, 'src': 'embed', 'start': 9116.573, 'weight': 3, 'content': [{'end': 9118.973, 'text': 'It tells me it is 16.', 'start': 9116.573, 'duration': 2.4}, {'end': 9120.494, 'text': 'So we have our data.', 'start': 9118.973, 'duration': 1.521}, {'end': 9128.655, 'text': 'We have created a pivot chart and basically we have sliced the data for 2016.', 'start': 9120.574, 'duration': 8.081}, {'end': 9140.543, 'text': "let's answer one more question and that's finding the profit made in each year for all the categories of products in east and west regions only.", 'start': 9128.655, 'duration': 11.888}, {'end': 9145.207, 'text': 'and then we would want to create a histogram for the same pivot table.', 'start': 9140.543, 'duration': 4.664}, {'end': 9148.649, 'text': 'so histogram usually gives us the frequencies.', 'start': 9145.207, 'duration': 3.442}], 'summary': 'Pivot chart shows 16 data points for 2016. profit to be found for all product categories in east and west regions. histogram to be created.', 'duration': 32.076, 'max_score': 9116.573, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk9116573.jpg'}], 'start': 8364.805, 'title': 'Pivot table analysis and subcategory contribution', 'summary': 'Covers calculating percentage contribution of subcategories using pivot tables and analyzing data for lowest profit, sales by quarter, and profit by year, with practical demonstrations and relevance to total sales.', 'chapters': [{'end': 8584.434, 'start': 8364.805, 'title': 'Calculating percentage contribution of subcategories', 'summary': 'Discusses the process of calculating the percentage contribution of each subcategory of products under each category to the total sales using pivot tables, achieving a sorted display of subcategory contributions, and emphasizing the relevance of these contributions to the total sales.', 'duration': 219.629, 'highlights': ['The process involves using pivot tables to calculate the percentage contribution of each subcategory of products under each category to the total sales.', 'The data is displayed in percentage form, and the subcategories are sorted in descending order based on their contribution to the total sales.', "The relevance of these contributions to the total sales is emphasized, with the total of the subcategories' contributions equating to the total grand total."]}, {'end': 9326.072, 'start': 8586.256, 'title': 'Pivot table analysis for data analysis', 'summary': 'Demonstrates how to use pivot tables to find the customer with the lowest profit in the home office segment in each state, then proceeds to show how to find the sales made in each quarter of 2016 for all regions, and finally, it explains how to calculate the profit made in each year for all product categories in the east and west regions and create a histogram.', 'duration': 739.816, 'highlights': ['Using pivot tables to find the customer with the lowest profit in the home office segment in each state.', 'Demonstrating how to find the sales made in each quarter of 2016 for all regions using pivot tables and filters.', 'Illustrating how to calculate the profit made in each year for all product categories in the east and west regions and create a histogram.']}], 'duration': 961.267, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk8364805.jpg', 'highlights': ['Using pivot tables to calculate percentage contribution of subcategories to total sales', 'Analyzing data for lowest profit in home office segment in each state', 'Finding sales made in each quarter of 2016 for all regions using pivot tables', 'Calculating profit made in each year for all product categories in east and west regions']}, {'end': 10492.513, 'segs': [{'end': 9434.449, 'src': 'embed', 'start': 9409.277, 'weight': 3, 'content': [{'end': 9417.723, 'text': 'and we can create a range of values which is nothing but a block of cells which has a name and can be referenced.', 'start': 9409.277, 'duration': 8.446}, {'end': 9426.426, 'text': 'so, mainly to use vlookup, we need to create a named range and that can be referenced anywhere in the workbook.', 'start': 9417.723, 'duration': 8.703}, {'end': 9434.449, 'text': 'or the other option is you can always drag and select the range of data in which you would want to search something.', 'start': 9426.426, 'duration': 8.023}], 'summary': 'To use vlookup, create named range for referencing, or drag and select data range.', 'duration': 25.172, 'max_score': 9409.277, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk9409277.jpg'}, {'end': 9545.017, 'src': 'embed', 'start': 9513.933, 'weight': 6, 'content': [{'end': 9519.718, 'text': "Now that's the named range I'm creating and just say, okay, so the scope is workbook.", 'start': 9513.933, 'duration': 5.785}, {'end': 9524.28, 'text': 'and I have created a named range, which you can see here.', 'start': 9520.256, 'duration': 4.024}, {'end': 9527.563, 'text': 'So it shows for search, our search.', 'start': 9524.62, 'duration': 2.943}, {'end': 9530.406, 'text': 'So you have created a named range.', 'start': 9528.044, 'duration': 2.362}, {'end': 9536.071, 'text': 'Now, how do we do a VLOOKUP here? So for that, we can use a formula.', 'start': 9530.946, 'duration': 5.125}, {'end': 9545.017, 'text': 'So, for example, I would want to search for employee name, where employee id is whatever you would want to search for.', 'start': 9536.372, 'duration': 8.645}], 'summary': 'Creating a named range with workbook scope for vlookup.', 'duration': 31.084, 'max_score': 9513.933, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk9513933.jpg'}, {'end': 9666.71, 'src': 'embed', 'start': 9586.675, 'weight': 4, 'content': [{'end': 9592.438, 'text': 'Now that basically opens up this function arguments and it shows what does this function do.', 'start': 9586.675, 'duration': 5.763}, {'end': 9596.681, 'text': 'So it says looks for a value in the leftmost column of a table.', 'start': 9592.619, 'duration': 4.062}, {'end': 9602.144, 'text': 'and then returns a value in the same row from a column you specify.', 'start': 9597.581, 'duration': 4.563}, {'end': 9606.767, 'text': 'By default, the table must be sorted in an ascending order.', 'start': 9602.804, 'duration': 3.963}, {'end': 9612.81, 'text': 'Now, you can basically say this is what you would want to search for, what is the lookup value.', 'start': 9607.247, 'duration': 5.563}, {'end': 9617.393, 'text': 'If you place your cursor here, it says what is the table array.', 'start': 9613.29, 'duration': 4.103}, {'end': 9621.375, 'text': 'That is nothing but the range, which we can use our named range.', 'start': 9617.813, 'duration': 3.562}, {'end': 9630.476, 'text': 'Here we have the column index number, which basically tells me what is the column number in the range which we want?', 'start': 9621.896, 'duration': 8.58}, {'end': 9634.078, 'text': 'So what is the value we want from which column?', 'start': 9631.016, 'duration': 3.062}, {'end': 9644.587, 'text': 'And then basically you have range lookup, which basically is the fourth option, and range lookup is nothing, but it can have two values,', 'start': 9634.558, 'duration': 10.029}, {'end': 9646.527, 'text': 'so true or false.', 'start': 9644.587, 'duration': 1.94}, {'end': 9652.87, 'text': 'so true basically means closest match and then false should be an exact match.', 'start': 9646.527, 'duration': 6.343}, {'end': 9654.41, 'text': "so let's do that.", 'start': 9652.87, 'duration': 1.54}, {'end': 9666.71, 'text': 'so for lookup value, we would want to give a particular value, which is nothing, but we would be interested in say employee name.', 'start': 9654.41, 'duration': 12.3}], 'summary': 'Excel function vlookup looks for a value in a table and returns a corresponding value from a specified column, with options for range lookup.', 'duration': 80.035, 'max_score': 9586.675, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk9586675.jpg'}, {'end': 9894.508, 'src': 'embed', 'start': 9865.328, 'weight': 2, 'content': [{'end': 9870.591, 'text': 'so there are lots of functions here and this is the function we are interested in if error.', 'start': 9865.328, 'duration': 5.263}, {'end': 9876.514, 'text': 'so if i say, okay, now this takes the value and what is the value if error?', 'start': 9870.591, 'duration': 5.923}, {'end': 9889.045, 'text': 'so for value, what i can do is basically i can select value from here, which is nothing but our vlookup formula, and value if error.', 'start': 9876.514, 'duration': 12.531}, {'end': 9894.508, 'text': 'so, for example, i will basically say, for example, not found.', 'start': 9889.045, 'duration': 5.463}], 'summary': "Analyzing function 'if error' with vlookup formula for value selection.", 'duration': 29.18, 'max_score': 9865.328, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk9865328.jpg'}, {'end': 10029.985, 'src': 'embed', 'start': 9980.247, 'weight': 0, 'content': [{'end': 9984.79, 'text': 'but if i say 107, which is found, then it shows me the value.', 'start': 9980.247, 'duration': 4.543}, {'end': 9994.197, 'text': 'so we are using vlookup, but then we are also using if error, which will take care of our error message, or basically,', 'start': 9984.79, 'duration': 9.407}, {'end': 10000.298, 'text': 'the not applicable Pound not applicable, replaced with whatever value we key in.', 'start': 9994.197, 'duration': 6.101}, {'end': 10003.06, 'text': 'Similarly, we can do the same thing here.', 'start': 10001.119, 'duration': 1.941}, {'end': 10005.301, 'text': 'So we have the find the job title.', 'start': 10003.24, 'duration': 2.061}, {'end': 10009.763, 'text': 'So we are interested in finding out the job title once the employee name is given.', 'start': 10005.721, 'duration': 4.042}, {'end': 10017.607, 'text': 'Now, employee name can basically have a value from the cell or whatever value you would want to key in.', 'start': 10010.483, 'duration': 7.124}, {'end': 10024.441, 'text': 'How do we do it? So we basically start with our VLOOKUP.', 'start': 10019.858, 'duration': 4.583}, {'end': 10027.624, 'text': "So that's the function we are interested in.", 'start': 10024.902, 'duration': 2.722}, {'end': 10029.985, 'text': 'So you can just do a double click.', 'start': 10028.644, 'duration': 1.341}], 'summary': 'Using vlookup and iferror to find job titles based on employee names.', 'duration': 49.738, 'max_score': 9980.247, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk9980247.jpg'}, {'end': 10215.315, 'src': 'embed', 'start': 10187.056, 'weight': 7, 'content': [{'end': 10189.877, 'text': 'So it basically tells me not found.', 'start': 10187.056, 'duration': 2.821}, {'end': 10190.977, 'text': "So let's check this.", 'start': 10190.097, 'duration': 0.88}, {'end': 10199.039, 'text': "Now, the error which we were facing was because when we talk about your VLOOKUP, let's look at the formula again.", 'start': 10192.637, 'duration': 6.402}, {'end': 10205.38, 'text': 'And here, say, for example, I go for function and then I select VLOOKUP.', 'start': 10199.519, 'duration': 5.861}, {'end': 10215.315, 'text': 'And say, for example, I say, okay, now just look at the description here looks for a value in the left most column of a table.', 'start': 10205.991, 'duration': 9.324}], 'summary': 'A vlookup error was encountered due to a formula issue.', 'duration': 28.259, 'max_score': 10187.056, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk10187056.jpg'}], 'start': 9326.072, 'title': 'Using vlookup in excel', 'summary': 'Demonstrates how to use vlookup in excel to search for a value in a named range, create a named range, and use the vlookup function to find an employee name based on the employee id. it also covers range lookup options, selecting lookup value, table array, column index number, and handling errors using the iferror function, as well as the usage of vlookup and if error functions to find job titles based on employee names, with examples and error handling, resulting in the successful retrieval of relevant job titles.', 'chapters': [{'end': 9634.078, 'start': 9326.072, 'title': 'Using vlookup in excel', 'summary': 'Demonstrates how to use vlookup in excel to search for a value in a named range, create a named range, and use the vlookup function to find an employee name based on the employee id.', 'duration': 308.006, 'highlights': ['The chapter demonstrates how to use VLOOKUP in Excel to search for a value in a named range.', 'Creating a named range is illustrated in the tutorial.', 'The function arguments of VLOOKUP are explained, including the lookup value and the table array.']}, {'end': 9945.878, 'start': 9634.558, 'title': 'Vlookup in excel', 'summary': 'Explains the vlookup function in excel, covering range lookup options, selecting lookup value, table array, column index number, and handling errors using the iferror function.', 'duration': 311.32, 'highlights': ['Explaining range lookup options', 'Selecting lookup value and table array', 'Defining column index number', 'Handling errors using the IFERROR function']}, {'end': 10492.513, 'start': 9947.19, 'title': 'Using vlookup and if error in excel', 'summary': 'Explains the usage of vlookup and if error functions in excel to find job titles based on employee names, showcasing the process with examples and error handling, resulting in the successful retrieval of relevant job titles.', 'duration': 545.323, 'highlights': ['The chapter explains the usage of VLOOKUP and If Error functions in Excel to find job titles based on employee names, showcasing the process with examples and error handling, resulting in the successful retrieval of relevant job titles.', "Demonstrates the use of VLOOKUP to search for job titles based on employee names, specifying the lookup value and the range, resulting in the retrieval of relevant job titles, such as 'stockbroker'.", 'Illustrates the integration of If Error function with VLOOKUP to handle error messages when the value is not found, ensuring error-free data retrieval and user-friendly experience.', "Provides insights into the Excel functions, emphasizing the importance of selecting the appropriate columns and using the 'false' parameter to ensure accurate lookup results.", 'Explains the significance of using named ranges to easily reference and utilize specific data sets, enhancing the efficiency and organization of the Excel functions.']}], 'duration': 1166.441, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk9326072.jpg', 'highlights': ['The chapter explains the usage of VLOOKUP and If Error functions in Excel to find job titles based on employee names, showcasing the process with examples and error handling, resulting in the successful retrieval of relevant job titles.', "Demonstrates the use of VLOOKUP to search for job titles based on employee names, specifying the lookup value and the range, resulting in the retrieval of relevant job titles, such as 'stockbroker'.", 'Illustrates the integration of If Error function with VLOOKUP to handle error messages when the value is not found, ensuring error-free data retrieval and user-friendly experience.', 'Explains the significance of using named ranges to easily reference and utilize specific data sets, enhancing the efficiency and organization of the Excel functions.', 'Explaining range lookup options', 'Defining column index number', 'Creating a named range is illustrated in the tutorial.', 'The function arguments of VLOOKUP are explained, including the lookup value and the table array.', 'Handling errors using the IFERROR function', 'Selecting lookup value and table array', 'The chapter demonstrates how to use VLOOKUP in Excel to search for a value in a named range.']}, {'end': 12235.263, 'segs': [{'end': 10774.932, 'src': 'embed', 'start': 10745.682, 'weight': 2, 'content': [{'end': 10749.332, 'text': 'for that you can look into the previous example, which is VLOOKUP.', 'start': 10745.682, 'duration': 3.65}, {'end': 10756.946, 'text': 'Now similarly, we are interested in finding out the job title for employee ID 105.', 'start': 10749.753, 'duration': 7.193}, {'end': 10759.811, 'text': 'How do we do that? So we need to use HLOOKUP.', 'start': 10756.946, 'duration': 2.865}, {'end': 10766.567, 'text': 'Well, we could have done with VLOOKUP, but here the data is more arranged in the form of rows.', 'start': 10760.424, 'duration': 6.143}, {'end': 10774.932, 'text': 'So how do we do that? So we can again use HLOOKUP, and we can give a range or named range.', 'start': 10767.268, 'duration': 7.664}], 'summary': 'Use hlookup to find job title for employee id 105.', 'duration': 29.25, 'max_score': 10745.682, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk10745682.jpg'}, {'end': 11658.659, 'src': 'embed', 'start': 11622.382, 'weight': 1, 'content': [{'end': 11624.183, 'text': 'And we need to close our index function.', 'start': 11622.382, 'duration': 1.801}, {'end': 11626.765, 'text': 'So now that shows me employee ID.', 'start': 11624.624, 'duration': 2.141}, {'end': 11629.667, 'text': 'Where the salary is 10, 000.', 'start': 11627.406, 'duration': 2.261}, {'end': 11635.949, 'text': 'So this is how you can do your index matches, where you can give it range,', 'start': 11629.667, 'duration': 6.282}, {'end': 11648.294, 'text': 'then you can say what you need to match Within which particular column whether it is an exact match or approximate match and then the column from where you are interested in finding out the value.', 'start': 11635.949, 'duration': 12.345}, {'end': 11650.135, 'text': 'So same thing we did here.', 'start': 11648.855, 'duration': 1.28}, {'end': 11658.659, 'text': 'We basically gave a complete range and if you closely see we were only interested in finding out the employee ID.', 'start': 11650.755, 'duration': 7.904}], 'summary': 'Using the index function to find employee id with a salary of 10,000.', 'duration': 36.277, 'max_score': 11622.382, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk11622382.jpg'}, {'end': 11727.795, 'src': 'embed', 'start': 11701.019, 'weight': 0, 'content': [{'end': 11706.344, 'text': 'We have already discussed where you nest your we look up or edge look up inside it.', 'start': 11701.019, 'duration': 5.325}, {'end': 11715.889, 'text': 'So this is how you can use your lookup functions, hlookup, vlookup, lookup, or index match to search for data.', 'start': 11707.284, 'duration': 8.605}, {'end': 11724.153, 'text': "Some function like this, which shows up xln.xlookup, and then you're trying to search for something.", 'start': 11716.649, 'duration': 7.504}, {'end': 11727.795, 'text': "So don't be surprised with that.", 'start': 11724.193, 'duration': 3.602}], 'summary': 'Learn how to use lookup functions like hlookup, vlookup, lookup, or index match to search for data in excel.', 'duration': 26.776, 'max_score': 11701.019, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk11701019.jpg'}], 'start': 10493.773, 'title': 'Excel lookup functions', 'summary': 'Covers the usage of vlookup, hlookup, and xlookup in excel, including specific examples and limitations, as well as the usage of named ranges and index match function for efficient data retrieval, aiming to address errors in excel spreadsheets sent by users with various excel versions.', 'chapters': [{'end': 10886.449, 'start': 10493.773, 'title': 'Horizontal lookup or edge lookup', 'summary': 'Discusses the concept of horizontal lookup, or edge lookup, which involves searching for data in rows rather than columns, using hlookup function to search for salary based on employee name and job title based on employee id, and using named ranges or manual range definition for efficient search.', 'duration': 392.676, 'highlights': ['Using HLOOKUP function to search for salary based on employee name and job title based on employee ID', 'Using named ranges or manual range definition for efficient search', 'Utilizing if error to handle error messages in the search process']}, {'end': 11244.477, 'start': 10886.449, 'title': 'Usage of vlookup and hlookup in excel', 'summary': 'Covers the usage of vlookup and hlookup in excel, including the limitations of vlookup and the implementation of lookup functions to search specific columns for data retrieval, with examples showing the salary and employee id lookup based on employee names and email addresses.', 'duration': 358.028, 'highlights': ['The chapter covers the usage of VLOOKUP and HLOOKUP in Excel', 'Implementation of lookup functions to search specific columns for data retrieval', 'Limitations of VLOOKUP and the need for selecting specific columns for data search']}, {'end': 11755.085, 'start': 11244.477, 'title': 'Using index match for data lookup', 'summary': 'Discusses how to use the index match function in excel to search for specific data, such as finding the salary of a specific employee and locating the employee id based on a given salary, enabling more flexible and precise data retrieval.', 'duration': 510.608, 'highlights': ['Using index match to find the salary of a specific employee', 'Locating employee ID based on a given salary using index match', 'Explaining the XLN prefix for functions in different Excel versions']}, {'end': 12235.263, 'start': 11755.625, 'title': 'Excel lookup functions', 'summary': 'Covers the usage of excel lookup functions, including xlookup, vlookup, and iferror, to fix errors when searching for job titles, salaries, and employee ids in excel spreadsheets sent by users with different excel versions.', 'duration': 479.638, 'highlights': ['Usage of Excel lookup functions to fix errors when searching for job titles, salaries, and employee IDs', 'Explanation of using XLOOKUP for searching for job titles based on employee names', 'Demonstration of using VLOOKUP to search for employee IDs and fixing errors with IFERROR']}], 'duration': 1741.49, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk10493773.jpg', 'highlights': ['Covers the usage of vlookup, hlookup, and xlookup in excel, including specific examples and limitations', 'Using index match to find the salary of a specific employee', 'Using HLOOKUP function to search for salary based on employee name and job title based on employee ID', 'Usage of Excel lookup functions to fix errors when searching for job titles, salaries, and employee IDs']}, {'end': 13459.156, 'segs': [{'end': 12311.119, 'src': 'embed', 'start': 12261.32, 'weight': 0, 'content': [{'end': 12270.409, 'text': 'getting your descriptive statistics, such as your mean median mode and so on, so we can do that and we can use excel for it.', 'start': 12261.32, 'duration': 9.089}, {'end': 12275.819, 'text': 'So, for example, you can, if you are given some data, say I have temperature,', 'start': 12270.816, 'duration': 5.003}, {'end': 12281.543, 'text': 'price of ice cream units sold and I would want to have descriptive statistics on this.', 'start': 12275.819, 'duration': 5.724}, {'end': 12290.149, 'text': 'What I can do is I can click on file and here in file, you can click on options and within options, click on add-ins.', 'start': 12282.003, 'duration': 8.146}, {'end': 12295.472, 'text': 'Now within add-ins, you have Excel add-ins, which is selected here.', 'start': 12290.889, 'duration': 4.583}, {'end': 12304.395, 'text': 'so click on, say go, for example, and that shows what add-ins are available and you can choose which ones are you interested in.', 'start': 12295.99, 'duration': 8.405}, {'end': 12311.119, 'text': 'so, for example, i have chosen analysis tool pack and solver add-in and click on.', 'start': 12304.395, 'duration': 6.724}], 'summary': 'Using excel to calculate descriptive statistics for data analysis.', 'duration': 49.799, 'max_score': 12261.32, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk12261320.jpg'}, {'end': 12734.113, 'src': 'embed', 'start': 12707.186, 'weight': 4, 'content': [{'end': 12719.469, 'text': 'you have been given some bins where you would want to identify how many values fall into the range of zero to 2020, to 3030, to 4040 to 50,', 'start': 12707.186, 'duration': 12.283}, {'end': 12723.15, 'text': 'And the easiest way to do that would be creating histogram.', 'start': 12719.469, 'duration': 3.681}, {'end': 12726.371, 'text': 'now histogram is usually used for data analysis.', 'start': 12723.15, 'duration': 3.221}, {'end': 12730.852, 'text': 'Where you would want to look at different variables or say features.', 'start': 12726.871, 'duration': 3.981}, {'end': 12734.113, 'text': 'For example, temperature is one such feature might be.', 'start': 12730.912, 'duration': 3.201}], 'summary': 'Identify values in bins: 0-2020, 2021-3030, 3031-4040, 4041-50 using histogram for data analysis.', 'duration': 26.927, 'max_score': 12707.186, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk12707186.jpg'}, {'end': 13103.506, 'src': 'embed', 'start': 13075.208, 'weight': 2, 'content': [{'end': 13081.932, 'text': 'Similarly, you may be interested in finding out temperature and units sold like what we have done earlier.', 'start': 13075.208, 'duration': 6.724}, {'end': 13086.335, 'text': 'So we can do the same thing based on function.', 'start': 13082.592, 'duration': 3.743}, {'end': 13090.457, 'text': 'So this is same as correlation of temperature and units sold.', 'start': 13086.615, 'duration': 3.842}, {'end': 13092.259, 'text': 'So I can get rid of this one.', 'start': 13090.678, 'duration': 1.581}, {'end': 13100.684, 'text': 'Now, how do I do it using the data analysis add in? So for that, what we need is we need to go into data.', 'start': 13092.759, 'duration': 7.925}, {'end': 13103.506, 'text': 'We need to click on data analysis.', 'start': 13101.244, 'duration': 2.262}], 'summary': 'Analyzing temperature and units sold correlation using data analysis add-in.', 'duration': 28.298, 'max_score': 13075.208, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk13075208.jpg'}], 'start': 12235.263, 'title': 'Data analysis techniques with excel', 'summary': 'Covers using excel add-ins and data analysis tool to perform descriptive analytics, obtaining descriptive statistics, analyzing frequency of values, creating histograms, and calculating correlation between variables with practical examples like temperature, ice cream price, and units sold.', 'chapters': [{'end': 12311.119, 'start': 12235.263, 'title': 'Data analysis with excel add-ins', 'summary': 'Demonstrates how to use inbuilt add-ins in microsoft excel to perform descriptive analytics, including obtaining descriptive statistics like mean, median, and mode, using examples of temperature, ice cream price, and units sold.', 'duration': 75.856, 'highlights': ['By using inbuilt add-ins in Microsoft Excel like Analysis Tool Pack and Solver, users can perform descriptive analytics to obtain statistics such as mean, median, and mode.', 'The tutorial provides examples of data analysis using Excel, including descriptive statistics for temperature, ice cream price, and units sold.', "The process involves clicking on 'file', selecting 'options', clicking on 'add-ins', choosing the desired add-ins such as Analysis Tool Pack and Solver, and clicking 'go'."]}, {'end': 12583.174, 'start': 12311.119, 'title': 'Using data analysis in excel', 'summary': 'Demonstrates how to use the data analysis tool in excel to obtain descriptive statistics for different columns, including selecting input and output ranges and choosing specific statistical options.', 'duration': 272.055, 'highlights': ['By using the data analysis tool in Excel, users can obtain descriptive statistics for specific columns, such as temperature and price of ice cream, by selecting input and output ranges and choosing statistical options like summary statistics and confidence level.', 'The process involves selecting the input range, specifying the output range, and choosing the desired statistical options, such as summary statistics, in order to generate descriptive statistics for the selected data.', 'The demonstration includes specific steps such as selecting the input range, defining the output range, and choosing the statistical options for obtaining the descriptive statistics, providing a comprehensive guide for using the data analysis tool in Excel.']}, {'end': 12944.914, 'start': 12583.678, 'title': 'Data analysis and descriptive statistics', 'summary': 'Covers the process of obtaining descriptive statistics for columns, analyzing frequency of values, and creating histograms to analyze the data, with a focus on temperature ranges and their frequencies.', 'duration': 361.236, 'highlights': ['The process of obtaining descriptive statistics for columns', 'Analyzing frequency of values and creating histograms for temperature ranges', 'Illustrating the use of Pareto chart for analyzing frequency of values']}, {'end': 13148.235, 'start': 12945.839, 'title': 'Correlation analysis in data', 'summary': 'Discusses the process of finding the correlation between different variables, such as temperature, price of ice cream, and units sold using the correlation function and the data analysis add-in, yielding correlation values like 0.2859 and practical usage of data analysis add-in.', 'duration': 202.396, 'highlights': ['The process of finding the correlation between different variables using the correlation function and data analysis add-in.', 'Practical usage of the data analysis add-in for finding correlation values like 0.2859.', 'Explanation of using the correlation function for calculating the correlation of temperature and units sold.']}, {'end': 13459.156, 'start': 13148.235, 'title': 'Data analysis techniques: correlation and sampling', 'summary': 'Explains the process of calculating correlation between variables using excel, and demonstrates periodic and random sampling techniques with examples of obtaining specific values from a dataset.', 'duration': 310.921, 'highlights': ['Correlation calculation in Excel', 'Demonstration of periodic sampling in Excel', 'Explanation of random sampling in Excel']}], 'duration': 1223.893, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk12235263.jpg', 'highlights': ['By using inbuilt add-ins in Microsoft Excel like Analysis Tool Pack and Solver, users can perform descriptive analytics to obtain statistics such as mean, median, and mode.', 'By using the data analysis tool in Excel, users can obtain descriptive statistics for specific columns, such as temperature and price of ice cream, by selecting input and output ranges and choosing statistical options like summary statistics and confidence level.', 'The process of finding the correlation between different variables using the correlation function and data analysis add-in.', "The process involves clicking on 'file', selecting 'options', clicking on 'add-ins', choosing the desired add-ins such as Analysis Tool Pack and Solver, and clicking 'go'.", 'Analyzing frequency of values and creating histograms for temperature ranges']}, {'end': 15090.641, 'segs': [{'end': 13512.262, 'src': 'embed', 'start': 13486.178, 'weight': 0, 'content': [{'end': 13496.224, 'text': 'So, when you talk about statistical modeling, regression analysis is used to estimate the relationship between two or more variables,', 'start': 13486.178, 'duration': 10.046}, {'end': 13507.979, 'text': 'and basically we would want to look at two or more variables and basically a relationship of those variables with the response or the target right.', 'start': 13496.224, 'duration': 11.755}, {'end': 13512.262, 'text': 'so, for example, if we look at our data here, we have temperature,', 'start': 13508.459, 'duration': 3.803}], 'summary': 'Regression analysis estimates relationships between variables for data analysis.', 'duration': 26.084, 'max_score': 13486.178, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk13486178.jpg'}, {'end': 13618.968, 'src': 'embed', 'start': 13591.689, 'weight': 2, 'content': [{'end': 13594.71, 'text': "That's the main factor you're trying to understand or predict.", 'start': 13591.689, 'duration': 3.021}, {'end': 13599.974, 'text': 'So we can plot a scatter plot to see relationship between variables.', 'start': 13595.311, 'duration': 4.663}, {'end': 13606.738, 'text': 'If they are linearly related, are they positively related, negatively related, and so on.', 'start': 13600.894, 'duration': 5.844}, {'end': 13613.342, 'text': 'We can also get values such as r square, which is coefficient of determination.', 'start': 13607.338, 'duration': 6.004}, {'end': 13618.968, 'text': 'regression line and then analyze the relationship between variables.', 'start': 13614.042, 'duration': 4.926}], 'summary': 'Analyzing the relationship between variables using scatter plots and regression analysis.', 'duration': 27.279, 'max_score': 13591.689, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk13591689.jpg'}, {'end': 14089.471, 'src': 'embed', 'start': 14025.762, 'weight': 1, 'content': [{'end': 14030.126, 'text': 'Now, how do we perform data analysis or get into regression.', 'start': 14025.762, 'duration': 4.364}, {'end': 14035.912, 'text': 'Right now what we would want to do is We would want to get,', 'start': 14030.947, 'duration': 4.965}, {'end': 14045.002, 'text': 'Or we would want to do the regression analysis to demonstrate the relationship between dependent and independent variables.', 'start': 14036.716, 'duration': 8.286}, {'end': 14050.887, 'text': 'So normally when you talk about your linear regression equation, you might have known about it.', 'start': 14045.623, 'duration': 5.264}, {'end': 14053.349, 'text': 'So it is basically y.', 'start': 14050.987, 'duration': 2.362}, {'end': 14069.491, 'text': 'when you say y equals, you can say bx plus a plus c, and this would be normally the mathematical equation for a linear regression.', 'start': 14053.349, 'duration': 16.142}, {'end': 14081.207, 'text': 'where x is your independent variable, y is your dependent variable, your, a is the y-intercept,', 'start': 14069.491, 'duration': 11.716}, {'end': 14089.471, 'text': 'which is expected mean value of y when all x variables are equal to zero.', 'start': 14082.788, 'duration': 6.683}], 'summary': 'Perform regression analysis to show relationship between variables.', 'duration': 63.709, 'max_score': 14025.762, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk14025762.jpg'}, {'end': 14516.586, 'src': 'embed', 'start': 14488.061, 'weight': 6, 'content': [{'end': 14492.343, 'text': 'So, the larger the absolute value, the stronger the relationship.', 'start': 14488.061, 'duration': 4.282}, {'end': 14500.888, 'text': 'So, 1 basically means a strong positive relationship, minus 1 means a strong negative relationship and 0 means no relationship at all.', 'start': 14492.443, 'duration': 8.445}, {'end': 14511.534, 'text': 'Now, when you are looking at R square, that is the coefficient of determination which is used as an indicator of the goodness of the fit.', 'start': 14501.588, 'duration': 9.946}, {'end': 14516.586, 'text': 'So it basically shows how many points fall on the regression line.', 'start': 14512.202, 'duration': 4.384}], 'summary': 'R square indicates the goodness of fit, with 1 indicating strong positive relationship, -1 indicating strong negative relationship, and 0 indicating no relationship.', 'duration': 28.525, 'max_score': 14488.061, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk14488061.jpg'}, {'end': 14604.746, 'src': 'embed', 'start': 14575.593, 'weight': 7, 'content': [{'end': 14584.095, 'text': 'Now, when you talk about your adjusted r squared, it is the r squared adjusted for the number of independent variables in the model.', 'start': 14575.593, 'duration': 8.502}, {'end': 14591.857, 'text': 'So you would want to use this value instead of r squared for multiple regression analysis.', 'start': 14584.715, 'duration': 7.142}, {'end': 14594.058, 'text': 'Such as in our case.', 'start': 14593.017, 'duration': 1.041}, {'end': 14596.9, 'text': 'Now you also have standard error.', 'start': 14594.899, 'duration': 2.001}, {'end': 14604.746, 'text': "So that's basically goodness of fit measure that basically shows the precision of your regression analysis.", 'start': 14597.22, 'duration': 7.526}], 'summary': 'Adjusted r squared is better for multiple regression analysis, it accounts for the number of independent variables.', 'duration': 29.153, 'max_score': 14575.593, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk14575593.jpg'}, {'end': 14764.874, 'src': 'embed', 'start': 14731.713, 'weight': 8, 'content': [{'end': 14745.365, 'text': "So when we usually talk about simple linear regression, the ANOVA part is not really used, or it's rarely used right.", 'start': 14731.713, 'duration': 13.652}, {'end': 14756.61, 'text': 'but when we look at the significance f value, that gives an idea of how reliably or statistically significant our results are.', 'start': 14745.365, 'duration': 11.245}, {'end': 14763.513, 'text': "so if significance f is less than 0.05, that's five percent.", 'start': 14756.61, 'duration': 6.903}, {'end': 14764.874, 'text': 'our model is okay.', 'start': 14763.513, 'duration': 1.361}], 'summary': 'Significance f less than 0.05 indicates reliable model.', 'duration': 33.161, 'max_score': 14731.713, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk14731713.jpg'}, {'end': 14824.696, 'src': 'embed', 'start': 14795.165, 'weight': 9, 'content': [{'end': 14800.209, 'text': 'which basically gives you more details on your coefficients.', 'start': 14795.165, 'duration': 5.044}, {'end': 14807.83, 'text': 'so the the main important thing when we talk about regression analysis is basically your coefficients.', 'start': 14800.209, 'duration': 7.621}, {'end': 14818.253, 'text': 'it basically enables you to build a linear regression equation in the form of y equals, bx plus a, which i explained earlier,', 'start': 14807.83, 'duration': 10.423}, {'end': 14824.696, 'text': 'and then basically we can understand our regression analysis output better.', 'start': 14818.253, 'duration': 6.443}], 'summary': 'Understanding coefficients in regression analysis improves model interpretation.', 'duration': 29.531, 'max_score': 14795.165, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk14795165.jpg'}, {'end': 15015.239, 'src': 'embed', 'start': 14988.929, 'weight': 4, 'content': [{'end': 14997.451, 'text': "so it's pretty simple here you can add more details to your scatter plot or the plots, what we have created,", 'start': 14988.929, 'duration': 8.522}, {'end': 15001.112, 'text': 'or some people prefer to do it using formulas.', 'start': 14997.451, 'duration': 3.661}, {'end': 15012.276, 'text': 'so basically, we have some statistical functions that can help you do linear regression analysis, such as You have linux, you have slope,', 'start': 15001.112, 'duration': 11.164}, {'end': 15015.239, 'text': 'you have intercept, you have correlation, and so on.', 'start': 15012.276, 'duration': 2.963}], 'summary': 'Statistical functions for linear regression analysis available, including slope, intercept, correlation, etc.', 'duration': 26.31, 'max_score': 14988.929, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk14988929.jpg'}], 'start': 13459.656, 'title': 'Regression analysis in excel', 'summary': "Covers the use of excel for regression analysis, creating regression scatter plot, performing regression analysis, and understanding regression analysis metrics, emphasizing the importance of interpreting these metrics for evaluating the model's significance and goodness of fit.", 'chapters': [{'end': 13808.792, 'start': 13459.656, 'title': 'Using excel for regression analysis', 'summary': 'Covers the use of excel for regression analysis, discussing the concept of regression, variables, scatter plots, and types of regression models, emphasizing the importance of understanding the relationship between independent and dependent variables and the goal of minimizing the sum of squares to draw the regression line.', 'duration': 349.136, 'highlights': ['Regression analysis is used to estimate the relationship between two or more variables, allowing for predictions based on the data.', 'Understanding the distinction between independent and dependent variables is crucial for regression analysis, as independent variables influence the dependent variable, which is the main factor being predicted.', 'The goal of regression analysis is to minimize the sum of squares and draw a line that best fits the data, with the model aiming to determine which variables have a significant impact.', 'Different types of regression models include simple linear regression, multiple linear regression, and nonlinear regression, catering to various data relationships.', 'The importance of scatter plots in visualizing the relationship between variables and analyzing if they are linearly related, positively related, or negatively related is emphasized for regression analysis.']}, {'end': 14146.441, 'start': 13808.832, 'title': 'Creating regression scatter plot in excel', 'summary': 'Explains how to create a regression scatter plot in excel to demonstrate the relationship between dependent and independent variables, including the linear regression equation and its components, using specific steps and key points.', 'duration': 337.609, 'highlights': ['By creating a simple scatter plot in Excel, one can visually analyze the relationship between variables and demonstrate it with a regression line, R square, and coefficients, facilitating data analysis and comparison of values.', 'The process involves selecting X and Y values, adding a title for more context, and utilizing quick layout options to enhance the visualization and interpretation of the scatter plot.', 'The linear regression equation y = bx + a + c is explained, with x as the independent variable, y as the dependent variable, a as the y-intercept, b as the slope of the regression line, and c as the error term, providing a comprehensive understanding of the components and significance of the equation.']}, {'end': 14438.775, 'start': 14146.441, 'title': 'Regression analysis in excel', 'summary': 'Explains how to perform regression analysis in excel, selecting input and output ranges, and interpreting the summary output and plots to understand the relationship between variables and predicted units sold.', 'duration': 292.334, 'highlights': ['Performing regression analysis in Excel', 'Selecting input and output ranges', 'Interpreting the summary output and plots']}, {'end': 15090.641, 'start': 14438.775, 'title': 'Understanding regression analysis in excel', 'summary': 'Covers the interpretation of regression analysis in excel, including the definition of multiple r, r square, adjusted r square, standard error, anova, coefficients, residuals, and probability output, emphasizing the importance of these metrics for evaluating the goodness of fit and significance of the model.', 'duration': 651.866, 'highlights': ["The chapter explains the concept of multiple R, which measures the strength of linear relationship between two variables, with the correlation coefficient ranging between -1 and 1, and its absolute value indicating the relationship's strength.", 'It defines the coefficient of determination (R square) as an indicator of the goodness of fit, where the value 0.450788 implies that 45% of the dependent variables are explained by the independent variables in the model.', 'The chapter details the significance of adjusted R square for multiple regression analysis, highlighting its importance in considering the number of independent variables in the model.', 'It delves into the ANOVA values, explaining the significance of the F statistic and the p-value of F in determining the overall significance of the model, and how a significance F value less than 0.05 indicates an acceptable model.', "The chapter also touches on the importance of coefficients in building a linear regression equation, and emphasizes the role of residuals in understanding the deviation of actual values from predicted values, offering insight into the model's predictive accuracy."]}], 'duration': 1630.985, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/OOWAk2aLEfk/pics/OOWAk2aLEfk13459656.jpg', 'highlights': ['Regression analysis estimates the relationship between variables for predictions.', 'Understanding independent and dependent variables is crucial for regression analysis.', 'Importance of scatter plots in visualizing the relationship between variables.', 'Different types of regression models cater to various data relationships.', 'Creating a scatter plot in Excel facilitates data analysis and comparison of values.', 'The linear regression equation provides a comprehensive understanding of its components.', 'The coefficient of determination (R square) indicates the goodness of fit.', 'The significance of adjusted R square for multiple regression analysis.', 'ANOVA values determine the overall significance of the model.', 'Importance of coefficients in building a linear regression equation.']}], 'highlights': ['The course covers essential excel data analytics skills, including data management, formulas, data manipulation, sorting, advanced filtering, functions, visualization, data validation, pivot tables, vlookup, lookup functions, data analysis techniques, and regression analysis, providing step-by-step guidance and practical examples for efficient data analysis and interpretation.', 'Excel proves to be a great platform to perform various mathematical calculations on large data sets, a key requirement for organizations.', 'Features in Excel like searching, sorting, and filtering make it easier to manipulate data.', 'Excel allows beautifying data and presenting it in the form of charts, tables, and data bars.', 'Excel facilitates reporting, accounting, and analysis.', 'The chapter details the process of sorting and filtering data in Excel, allowing for easy organization and retrieval of specific information based on user-defined criteria.', 'The chapter explains different methods to transpose data in Excel, including using shortcuts, special paste, and formulas, and demonstrates array formulas to transpose data.', 'The chapter explains how to split data based on delimiters and use formulas to separate values in different cells.', 'The chapter explains how to create drop-down lists in Excel to restrict the values that can be entered in a specific column, offering efficiency and accuracy in data entry.', 'The chapter demonstrates the process of performing calculations in Excel, such as calculating totals and averages for specific data columns, enhancing data analysis capabilities.', 'The chapter illustrates the creation of tables in Excel and the ability to add or remove rows and columns, providing a structured format for data manipulation and computation.', 'The chapter discusses advanced filtering techniques for finding houses in specific areas with specific features.', 'The chapter explains advanced filtering in Excel, covering filtering by specific criteria, applying numerical filters, and using AND and OR conditions to filter data.', 'The chapter demonstrates how to use advanced filtering in Excel to create specific data filters, with a range from columns A to J, rows 1 to 126, and criteria specified in range M1 to V3, resulting in data with bedroom values 3 or 4 and list prices greater than 300,000.', 'Conditional formatting enables dynamic data analysis and management.', 'The chapter explains the use of conditional formatting to highlight cell values in Excel, such as using icon sets and color scales to easily identify significant data, which can be very useful for data analysts and business intelligence teams.', 'The chapter highlights the process of applying data validation for character limits, date restrictions, email format, and numerical ranges in Excel, including setting up input messages and error alerts for user guidance.', "Implemented data validation by selecting 'list' and specifying the source values, restricting the input to specified city names and places within those cities.", 'Using pivot tables to analyze subcategory sales', 'Using pivot tables to calculate percentage contribution of subcategories to total sales', 'The chapter explains the usage of VLOOKUP and If Error functions in Excel to find job titles based on employee names, showcasing the process with examples and error handling, resulting in the successful retrieval of relevant job titles.', 'Covers the usage of vlookup, hlookup, and xlookup in excel, including specific examples and limitations', 'By using inbuilt add-ins in Microsoft Excel like Analysis Tool Pack and Solver, users can perform descriptive analytics to obtain statistics such as mean, median, and mode.', 'Regression analysis estimates the relationship between variables for predictions.', 'Understanding independent and dependent variables is crucial for regression analysis.', 'Different types of regression models cater to various data relationships.']}